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reactjs – React Native iOS Construct Failed: fmt/src/format.cc compilation error after downloading Pod file


I’m engaged on a React Native mission, and after efficiently downloading the Pod file, I’m going through a construct failure when working the app on iOS. Right here’s what occurs:

  1. I run the next command to start out the app:

  2. rm -rf ios/Pods
    rm -rf ios/DerivedData
    rm -rf ~/Library/Developer/Xcode/DerivedData
    cd ios && pod set up --repo-update && cd ..se64
    
  3. "ios:dev": "npx react-native run-ios --scheme 'VeeraHealthPcosDev' --configuration Debug --simulator="iPhone 13"" 
    
  4. The construct fails, and I get this error message:

    ** BUILD FAILED **
    
    
    The next construct instructions failed:
            CompileC /Customers/rac/Library/Developer/Xcode/DerivedData/veerahealthpcos-fjsocvigquxpakdaumsxcfhhcmhw/Construct/Intermediates.noindex/Pods.construct/Debug-iphonesimulator/fmt.construct/Objects-normal/x86_64/format.o /Customers/rac/Desktop/working/rn-veera-health-pcos/ios/Pods/fmt/src/format.cc regular x86_64 c++ com.apple.compilers.llvm.clang.1_0.compiler (in goal 'fmt' from mission 'Pods')
            Constructing workspace veerahealthpcos with scheme VeeraHealthPcosDev and configuration Debug
    (2 failures)
    
    data Run CLI with --verbose flag for extra particulars.
    

Atmosphere:

I can’t replace to the most recent model of React Native, as my mission is dependent upon older package deal variations that aren’t appropriate with the most recent React Native model. I’ve tried cleansing the construct folder, reinstalling the dependencies, and even updating the Pods, however the difficulty persists.

I believe the issue could also be associated to the file ios/Pods/fmt/src/format.cc, however I’m unsure the way to resolve it. Has anybody else encountered this difficulty or have any strategies for an answer?

Contained in the post_install do |installer| block, I added the next to change the construct settings:

installer.pods_project.targets.every do |goal|
  goal.build_configurations.every do |config|
    # Enable arm64 (take away earlier exclusion of arm64):
    config.build_settings['EXCLUDED_ARCHS[sdk=iphonesimulator*]'] = 'x86_64'
    config.build_settings['ONLY_ACTIVE_ARCH'] = 'YES'
  finish
finish

installer.pods_project.targets.every do |goal|
  if goal.title == 'fmt'
    goal.build_configurations.every do |config|
      # Pressure C++17 (required by trendy fmt) and libc++  
      config.build_settings['CLANG_CXX_LANGUAGE_STANDARD'] = 'c++17'  
      config.build_settings['CLANG_CXX_LIBRARY'] = 'libc++'  
      # Disable Clang modules (can keep away from module import points)
      config.build_settings['CLANG_ENABLE_MODULES'] = 'NO'  
      config.build_settings['CLANG_MODULES_AUTOLINK'] = 'NO'  
      # (Non-obligatory) Add any wanted defines, e.g. for compatibility
      config.build_settings['GCC_PREPROCESSOR_DEFINITIONS'] ||= ['$(inherited)', '_LIBCPP_ENABLE_CXX17_REMOVED_UNARY_BINARY_FUNCTION']
    finish
  finish
finish

installer.pods_project.targets.every do |goal|
  if goal.title == 'OneSignalNotificationServiceExtension'
    goal.build_configurations.every do |config|
      # Exclude x86_64 on simulator so we solely construct arm64
      config.build_settings['EXCLUDED_ARCHS[sdk=iphonesimulator*]'] = 'x86_64'
      # Solely construct the energetic arch in debug
      config.build_settings['ONLY_ACTIVE_ARCH'] = 'YES'
    finish
  finish
finish

After working the app, I anticipated the construct to succeed, however as an alternative, I acquired the next error:

The next construct instructions failed:
        SwiftEmitModule regular x86_64 Emitting module for OneSignalNotificationServiceExtension (in goal 'OneSignalNotificationServiceExtension' from mission 'xyz')
        SwiftCompile regular x86_64 /Customers/rac/Desktop/working/rn-veera-health-pcos/ios/OneSignalNotificationServiceExtension/NotificationService.swift (in goal 'OneSignalNotificationServiceExtension' from mission 'xyz')
        Constructing workspace xyz with scheme VeeraHealthPcosDev and configuration Debug
(3 failures)

It seems to be a problem associated to the OneSignalNotificationServiceExtension. Any strategies on the way to resolve this or repair the construct failure could be appreciated.

Embracing a Passwordless Future: Cisco’s Journey to Seamless Authentication with Duo Passwordless


ndly means that may permit its 130,000 customers to securely work anyplace, from any gadget, with out friction. By leveraging its personal Duo Passwordless, the crew was capable of eradicate phishable multi-factor authentication elements, enhance usability and productiveness, scale back authentication actions by 93%, and safe its workforce from anyplace. 

At Cisco, securing our office for the longer term means constantly adapting to technological developments and staying forward of the menace panorama. Leveraging our personal suite of safety merchandise, together with Duo, has been key in serving to us do this.  

When most of our workforce labored remotely in the course of the pandemic, we applied Duo Past and moved from a standard network-based perimeter and VPN mannequin to a zero-trust framework in order that customers may securely work anyplace, from any gadget, with out friction. 

At this time, our zero-trust journey continues as we try to fulfill the safety wants of as we speak whereas adapting for what’s subsequent with Duo Passwordless. Id is now the perimeter— the primary line of protection in opposition to cyber threats. With most knowledge breaches coming from weak or stolen credentials, it’s clear that the longer term requires passwordless authentication. 

The issue with passwords

To place it merely, passwords are a straightforward goal for hackers. As soon as the gold commonplace for safeguarding delicate data, passwords at the moment are outdated and weak within the ever-evolving menace panorama. They’re extremely inclined to phishing assaults, may be simply forgotten, and infrequently result in person frustration that brings an inflow of password-related assist desk tickets to IT groups.  

When affected by password fatigue, customers are inclined to make use of weak, reused, or solely barely modified passwords throughout completely different accounts. Good password administration is tough and troublesome to implement, and previous to utilizing Duo Passwordless, Cisco IT struggled to handle these challenges throughout an enormous workforce spanning greater than 130,000 customers.  

As a big firm and a pacesetter in know-how, a compromise in our safety can have a significant affect on our enterprise and our innovation. If attackers acquire delicate data resembling supply code, inside system particulars, buyer knowledge, or mental property, it not solely places our enterprise and staff in danger, however the prospects who depend on our know-how. We wanted to adapt our strategy to authentication to mitigate the password associated safety dangers to our enterprise and challenges confronted by our staff and assist groups.

Conventional multi-factor authentication (MFA) is now not adequate

Authentication has advanced as cybercrime has develop into an increasing number of subtle. We began with “one thing ,” or a username and password. We added MFA, which mixes “one thing ” with “one thing you’ve” or “are” like a tool or fingerprint. Whereas stronger than a username and password alone, the “one thing ” issue of a password remained inclined to vulnerabilities.  

The transfer to passwordless: specializing in safety and person expertise

We started working carefully with the Duo product crew to take a user-friendly, zero belief strategy that not solely enhanced safety but in addition improved the person expertise. To do that, we applied Duo Passwordless. It wasn’t nearly enhancing safety, however on the identical time cultivating a seamless expertise that may higher serve our prospects and staff each now and into the longer term.

While Duo Passwordless remains to be MFA, it takes it a step additional and combines the expertise into one step, making for a smoother person expertise. It depends on cryptographic public-private key pairs, using biometrics (resembling fingerprint or facial recognition) or safety keys like YubiKeys to authenticate customers with out the necessity for passwords.

Enhancing Duo as buyer zero

As “buyer zero” for Duo Passwordless, we had the flexibility to check and enhance the know-how by way of early pilot packages earlier than launch. Utilizing a multi-phased strategy, we began with a small group of IT and safety workers, enhancing efficiency and performance by way of suggestions earlier than progressively increasing to the complete workforce over 10 months. The data gained from preliminary pilot teams and insights into how completely different customers could be impacted helped form our strategy to speaking the adjustments with our workforce. 

By means of cautious collaboration between groups throughout our group, Cisco IT Safety and the Safety and Belief Group (S&TO) started driving the path of our passwordless future. My crew inside IT Safety served as the principle drivers behind this effort, with S&TO offering change administration assist, and IT UX, IT Comms, and IT Analysis & Analytics supporting as wanted. Assist@Cisco additionally performed a task as soon as we shifted to necessary passwordless just for key apps, managing the assist course of for our inside customers so service groups may give attention to the operation and enchancment of the product.  

Challenges and classes discovered

Whereas the complete rollout has seen excessive ranges of natural workforce enrollment with restricted promotion, there have been some challenges with adoption. Many customers reported preliminary considerations with using biometrics. For instance, Home windows Good day customers who didn’t log in with biometrics by default, merely didn’t know to set it up. Except particularly instructed, customers on this state of affairs didn’t notice biometrics have been an possibility for them.  

To treatment, we targeted on worker schooling round how biometrics are used, the place they’re saved, in addition to the worth of shifting to passwordless authentication. As well as, we offered options to biometrics. For instance, on Home windows, customers can use a PIN. In the event that they don’t like platform-based authenticators, they will use a YubiKey with a PIN or setup a passkey on a cellular gadget. 

Additionally essential to notice, we didn’t initially mandate the transfer to passwordless. Our strategy to encouraging worker adoption and alter was formed by our dedication to delivering one of the best person expertise. We wished to ship providers and know-how that acted as a magnet for adoption fairly than a mandate.  

Now that we’re additional into our journey, now we have began Passwordless Solely enforcement on sure apps. The slower, however at-will transition allowed natural adoption and helped get individuals comfy with the brand new know-how prior to creating the follow necessary. 

 The affect: A safer and productive workforce

Because the passwordless answer was made obtainable to the whole workforce, we’ve seen substantial advantages together with:  

  • Zero password-related safety incidents 
  • A frictionless expertise for over 130,000 staff with zero belief safe entry 
  • Improved usability and productiveness, decreasing authentication actions by 93% 
  • Enhanced safety by eliminating phishable MFA elements 
  • Substantial discount in IT time and prices resulting from fewer password-related points

The long run: Continued innovation and growth

Whereas there’s a lengthy highway forward of a full trade shift away from passwords completely, this has primarily been about altering the expertise for our workforce as we speak and mitigating potential future threats for our enterprise. Getting ready for a totally passwordless future is a journey that we proceed to construct and enhance on, together with: 

  •  Enhancing safety and usefulness for our workforce: Our journey started with our implementation of Duo Past and continues with Duo Passwordless, underpinning our present transition to Cisco Safe Entry inside Cisco IT (extra to return!). Id safety is a basis for zero belief entry, and Duo is far more than simply MFA.  
  • Strengthening and evolving our zero-trust structure: The profitable rollouts of our Duo options mixed with the newest rollout of Cisco Safe Entry unlocks even stronger zero belief outcomes with an identify-first SSE.  

Study extra about Duo Passwordless Authentication, our journey, and the highly effective mixture of Cisco Safe Entry and Duo. For Cisco staff, learn to arrange passwordless in your Cisco gadget right here.

 

 

Extra Assets:

 

PS:  Attending Cisco Stay in San Diego this June? 

You’ll have a particular alternative to speak reside with Cisco IT consultants to dive into these success tales and different deployments! Look for Cisco on Cisco in every of the showcases and you should definitely search Cisco on Cisco within the session catalog to add our classes to your schedule!

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Multi-agent path discovering in steady environments


By Kristýna Janovská and Pavel Surynek

Think about if all of our automobiles may drive themselves – autonomous driving is turning into attainable, however to what extent? To get a automobile someplace by itself might not appear so tough if the route is evident and nicely outlined, however what if there are extra automobiles, every making an attempt to get to a distinct place? And what if we add pedestrians, animals and different unaccounted for parts? This drawback has not too long ago been more and more studied, and already utilized in eventualities reminiscent of warehouse logistics, the place a gaggle of robots transfer bins in a warehouse, every with its personal aim, however all shifting whereas ensuring to not collide and making their routes – paths – as quick as attainable. However easy methods to formalize such an issue? The reply is MAPF – multi-agent path discovering [Silver, 2005].

Multi-agent path discovering describes an issue the place we have now a gaggle of brokers – robots, autos and even individuals – who’re every making an attempt to get from their beginning positions to their aim positions abruptly with out ever colliding (being in the identical place on the identical time).

Usually, this drawback has been solved on graphs. Graphs are buildings which might be in a position to simplify an setting utilizing its focal factors and interconnections between them. These factors are known as vertices and might signify, for instance, coordinates. They’re related by edges, which join neighbouring vertices and signify distances between them.

If nonetheless we try to unravel a real-life state of affairs, we attempt to get as near simulating actuality as attainable. Due to this fact, discrete illustration (utilizing a finite variety of vertices) might not suffice. However easy methods to search an setting that’s steady, that’s, one the place there may be principally an infinite quantity of vertices related by edges of infinitely small sizes?

That is the place one thing known as sampling-based algorithms comes into play. Algorithms reminiscent of RRT* [Karaman and Frazzoli, 2011], which we utilized in our work, randomly choose (pattern) coordinates in our coordinate area and use them as vertices. The extra factors which might be sampled, the extra correct the illustration of the setting is. These vertices are related to that of their nearest neighbours which minimizes the size of the trail from the place to begin to the newly sampled level. The trail is a sequence of vertices, measured as a sum of the lengths of edges between them.

Determine 1: Two examples of paths connecting beginning positions (blue) and aim positions (inexperienced) of three brokers. As soon as an impediment is current, brokers plan easy curved paths round it, efficiently avoiding each the impediment and one another.

We are able to get a near optimum path this fashion, although there may be nonetheless one drawback. Paths created this fashion are nonetheless considerably bumpy, because the transition between completely different segments of a path is sharp. If a automobile was to take this path, it might in all probability have to show itself directly when it reaches the tip of a phase, as some robotic vacuum cleaners do when shifting round. This slows the automobile or a robotic down considerably. A manner we will clear up that is to take these paths and easy them, in order that the transitions are now not sharp, however easy curves. This fashion, robots or autos shifting on them can easily journey with out ever stopping or slowing down considerably when in want of a flip.

Our paper [Janovská and Surynek, 2024] proposed a way for multi-agent path discovering in steady environments, the place brokers transfer on units of easy paths with out colliding. Our algorithm is impressed by the Battle Based mostly Search (CBS) [Sharon et al., 2014]. Our extension right into a steady area known as Steady-Setting Battle-Based mostly Search (CE-CBS) works on two ranges:

Determine 2: Comparability of paths discovered with discrete CBS algorithm on a 2D grid (left) and CE-CBS paths in a steady model of the identical setting. Three brokers transfer from blue beginning factors to inexperienced aim factors. These experiments are carried out within the Robotic Brokers Laboratory at School of Info Expertise of the Czech Technical College in Prague.

Firstly, every agent searches for a path individually. That is completed with the RRT* algorithm as talked about above. The ensuing path is then smoothed utilizing B-spline curves, polynomial piecewise curves utilized to vertices of the trail. This removes sharp turns and makes the trail simpler to traverse for a bodily agent.

Particular person paths are then despatched to the upper degree of the algorithm, through which paths are in contrast and conflicts are discovered. Battle arises if two brokers (that are represented as inflexible round our bodies) overlap at any given time. If that’s the case, constraints are created to forbid one of many brokers from passing by means of the conflicting area at a time interval throughout which it was beforehand current in that area. Each choices which constrain one of many brokers are tried – a tree of attainable constraint settings and their options is constructed and expanded upon with every battle discovered. When a brand new constraint is added, this data passes to all brokers it issues and their paths are re-planned in order that they keep away from the constrained time and area. Then the paths are checked once more for validity, and this repeats till a conflict-free answer, which goals to be as quick as attainable is discovered.

This fashion, brokers can successfully transfer with out shedding pace whereas turning and with out colliding with one another. Though there are environments reminiscent of slim hallways the place slowing down and even stopping could also be vital for brokers to soundly cross, CE-CBS finds options in most environments.

This analysis is supported by the Czech Science Basis, 22-31346S.

You’ll be able to learn our paper right here.

References




AIhub
is a non-profit devoted to connecting the AI group to the general public by offering free, high-quality data in AI.


AIhub
is a non-profit devoted to connecting the AI group to the general public by offering free, high-quality data in AI.

Scaling the Cisco AI Assistant for Assist with Splunk


Cisco wanted to scale its digital help engineer that assists its technical help groups all over the world. By leveraging its personal Splunk expertise, Cisco was in a position to scale the AI assistant to help greater than 1M circumstances and liberate engineers to focus on extra advanced circumstances, making a 93+% buyer satisfaction ranking, and guaranteeing the crucial help continues working within the face of any disruption. 

In case you’ve ever opened a help case with Cisco, it’s doubtless that the Technical Help Middle (TAC) got here to your rescue. This around-the-clock, award-winning technical help staff providers on-line and over-the-phone help to all of Cisco’s prospects, companions, and distributors. The truth is, it handles 1.5 million circumstances all over the world yearly.

Fast, correct, and constant help is crucial to guaranteeing the client satisfaction that helps us preserve our excessive requirements and develop our enterprise. Nonetheless, major occasions like crucial vulnerabilities or outages can trigger spikes within the quantity of circumstances that slow response occasions and rapidly swamp our TAC groups, influenceing buyer satisfaction consequently we’ll dive into the AI-powered help assistant that assists to ease this challenge, in addition to how we used our personal Splunk expertise to scale its caseload and enhance our digital resilience. 

Constructing an AI Assistant for Assist

staff of elite TAC engineers with a ardour for innovation set out to construct an answer that might speed up challenge decision occasions by increaseing an engineers’ capability to detect and remedy buyer issues. the was created it’s greater than an AI bot and fewer than a human, designed to work alongside the human engineer. 

Fig. 1: All circumstances are analyzed and directed to the AI Assistant for Assist or the human engineer based mostly on which is most acceptable for decision.

By instantly plugging into the case routing system to investigate each case that is available in, the AI Assistant for Assist evaluates which of them it may simply assist remedy, together with license transactions and procedural issues, and responds on to prospects of their most popular language. 

With such nice success, we set our eyes on much more help for our engineers and prospects. Whereas the AI Assistant for Assist was initially conceived to assist with the high-volume occasions that create a major inflow of circumstances, it rapidly expanded to incorporate extra day-to-day buyer points, serving to to cut back response occasions and imply time to decision whereas constantly sustaining a 93+% buyer satisfaction rating. 

Nonetheless, as using the AI Assistant grew, so did the complexity and quantity of circumstances it dealt with. An answer that when dealt with 10-12 circumstances a day rapidly ballooned into lots of, outgrowing the methodology initially in place for monitoring workflows and sifting by log knowledge.  

Initially, we created a technique referred to as “breadcrumbs” that we tracked by a WebEx area. These “breadcrumbs,” or actions taken by the AI Assistant for Assist throughout a case from finish to finish, had been dropped into the area so we may manually return by the workflows to troubleshoot. When our assistant was solely taking a small quantity circumstances a day, this was all we wanted.  

The issue was it couldn’t scale. Because the assistant started taking over lots of of circumstances a day, we outgrew the size at which our “breadcrumbs” technique was efficient, and it was not possible for us to handle as people.  

Figuring out the place, when, and why one thing went mistaken had grow to be a time-consuming problem for the groups working the assistant. We rapidly realized we wanted to: 

  • Implement a brand new methodology that might scale with our operations 
  • Discover a answer that would offer traceability and guarantee compliance

Scaling the AI Assistant for Assist with Splunk 

We determined to construct out a logging methodology utilizing Splunk, the place we may drop log messages into the platform and construct a dashboard with case quantity as an index. As an alternative of manually sifting by our “breadcrumbs,” we may instantaneously find the circumstances and workflows we wanted to hint the actions taken by the assistant. The troubleshooting that may have taken us hours with our authentic methodology could possibly be completed in seconds with Splunk.  

The Splunk platform affords a sturdy and scalable answer for monitoring and logging that allows the capabilities required for extra environment friendly knowledge administration and troubleshooting. Its capability to ingest giant volumes of knowledge at excessive charges was essential for our operations. As an trade chief in case search indexing and knowledge ingestion, Splunk may simply handle the elevated knowledge circulate and operational calls for that our earlier methodology couldn’t.   

Tangible advantages of Splunk

Splunk unlocked a degree of resiliency for our AI Assistant for Assist that positively impacted our engineers, prospects, and enterprise.

Fig. 2: The Splunk dashboard affords clear visibility into features to make sure optimized efficiency and stability. 

With Splunk, we now have: 

  • Scalability and effectivity: Splunk displays the assistant’s actions to make sure it’s working accurately and supplies the power for TAC engineers to observe and troubleshoot workflows, permitting the assistant to effectively scale. The AI Assistant for Assist has efficiently labored on over a million circumstances so far. 
  • Enhanced visibility: With dashboards that permit for fast entry to case histories and workflow logs of our assistant, the TAC engineers overseeing the processes save time on case opinions to ship quicker than ever buyer help. 
  • Optimized processes with real-time metrics: The visibility into useful resource allocation permits us to optimize our enterprise processes and workflows, in addition to display the worth of our answer with real-time metrics. 
  • Proactive monitoring: Splunk ensures all APIs are totally functioning and displays logs to alert us of potential points that might influence our AI Assistant’s capability to function, permitting for fast remediation earlier than buyer expertise is impacted. 
  • Larger worker and buyer satisfaction: Engineers are geared up to deal with greater caseloads and effectively reprioritize efforts, lowering burnout whereas optimizing buyer expertise. 
  • Lowered complexity: The dashboards have a easy interface, making it a lot simpler to coach and onboard new staff. The convenience of use additionally serves to enhance the capabilities of the people working our AI Assistant by enhancing their accuracy and effectivity. 

By offering a scalable and traceable answer that helps us keep compliant, Splunk has enabled us to keep up our dedication to distinctive customer support by our AI Assistant for Assist.

 

Extra Assets:

 

PS:  Attending Cisco Dwell in San Diego this June? 

You’ll have a particular alternative to speak dwell with Cisco IT consultants to dive into these success tales and different deployments! Look for Cisco on Cisco in every of the showcases and you should definitely search Cisco on Cisco within the session catalog to add our periods to your schedule!

 

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Your information to Day 2 of the 2025 Robotics Summit & Expo


Your information to Day 2 of the 2025 Robotics Summit & ExpoThe Robotics Summit & Expo will come to an finish this afternoon, and we wish to be sure you get probably the most out of the present.

Day 2 will begin at 8:00 a.m. ET with the Ladies in Robotics Breakfast. The occasion will characteristic a dialog between Laura Main, the interim CEO and CTO of robotaxi firm Motional, and Joyce Sidopoulos, the co-founder and chief of operations of MassRobotics. It’ll in Room 253BC on the Boston Conference and Exhibition Heart.

The primary keynote, “Contained in the Evolution of Amazon’s Robots,” will happen in Room 258ABC and begin at 9:00 a.m. Aaron Parness, the director of utilized science in robotics and synthetic intelligence at Amazon Robotics, will clarify how Amazon is giving its robotic arms a way of contact to carry out duties in high-clutter and high-contact environments.

Subsequent, Daniela Rus, the director at MIT CSAIL, will give her keynote, “Welcome to the Period of Bodily Intelligence” at 10:00 a.m. Rus will focus on the challenges of transformer-based basis AI fashions. She can even introduce different physics-based fashions and clarify how they’ll effectively obtain efficiency.

The present’s closing keynote, “Superior Bionics for People and Robots,” will probably be at 3:30 p.m. in Room 258ABC. Aadeel Akhtar, the founder and CEO of PSYONIC, will discover the synergy between robotics and medical units, highlighting groundbreaking developments in bionic know-how.

From the event of prosthetics that restore contact and dexterity to the mixing of robotics for improved human-machine interplay, Akhtar will speak about how cutting-edge analysis and innovation are pushing the boundaries of what’s attainable.

At present, the expo present ground will open at 10:00 a.m. and can shut at 3:00 p.m. After the corridor closes, the MassRobotics Profession Honest will start at 3:30 p.m. within the Southeast Degree 2 Lobby.

Breakouts to catch on Day 2 of the Robotics Summit

Breakout classes will begin at 11:30 a.m. upstairs from the present ground. At present’s breakout discuss schedule is:

  • Past Manufacturing: AI-Powered Robotics and the Lengthy Tail of Business Innovation: Dave Coleman, the founder and chief product officer at PickNik Robotics, will kick off this session at 11:30 a.m. in Room 257B.
  • Bridging Robotics and Methods Programming: Why Rust Is a Recreation Changer: This discuss will begin at 11:30 a.m. in Room 257A, and is led by Guillaume Binet, the founding father of Copper Robotics.
  • Designing Our Subsequent-Era Surgical Robotic: Barry Greene, the co-founder and chief medical officer of Vicarious Surgical, will begin this discuss at 11:30 a.m. in Room 260.
  • From Chaos to Readability: Utilizing AI to Discover Vital Occasions in Robotic Logs: This session with Benji Barash, the co-founder and CEO of Roboto AI, will start at 11:30 a.m. in Room 259AB.
  • Maximizing the Worth of a Warehouse By Lights-Out Order Success: This panel will begin at 11:30 a.m. in Room 256. It’ll characteristic insights from Yaro Tenzer, co-founder and CEO of RightHand Robotics; Mike Keneally, CEO of Accutech; and Ayman Labib, co-founder and CEO of SIMPL Automation, moderated by Eugene Demaitre, editorial director at The Robotic Report and Automated Warehouse.
  • Fundamentals of Robotics {Hardware} and Software program Design: Marcin Panek, the robotics software program lead at Bosch, will begin his presentation at 1:30 p.m. in Room 257B.
  • Generative AI’s Affect on Robotics: This panel dialogue will kick off at 1:30 p.m. in room 259AB. It’ll characteristic Xavier Chi, co-founder of mbodi AI; Ted Larson, CEO of OLogic; Rajat Bhageria, the founder and CEO of Chef Robotics; and Karthee Madasamy, founder and managing companion at MFV Companions, moderated by editor Eugene Demaitre.
  • Healthcare Robotics Startup Catalyst Showcase: Beginning at 1:30 p.m. in Room 260, hear pitches from MassRobotics’ 4th annual Healthcare Robotics Startup Catalyst.
  • Humanoid Robotic From Unitree Robotics: Tony Yang, the North American director at Unitree Robotics, will describe his firm’s progress at 1:30 p.m. in Room 256.
  • ToF/Energetic Stereo Imaginative and prescient: Which 3D Imaging Method Is Proper for You? Kevin McCabe, an software engineering supervisor at IDS Imaging, will converse at 1:30 p.m. in Room 257A.
  • Area of Desires: Turning a Scalable, Resilient Area Service Program into Actuality: Kali Hamilton, a discipline robotics engineer at Scythe Robotics, will focus on agricultural and discipline robotics at 2:30 p.m. in Room 257B.
  • Choose the Proper Motor to Cut back Value and Time to Market: This session, that includes Stephen Funk, an electromagnetics design engineer professional at Kollmorgen, and Sunil Kedia, international software engineering supervisor at Portescap, will start at 2:30 p.m. in Room 257A.
  • Want-Primarily based Options Are the Way forward for Private Robotics: Amos Miller, the founder and CEO of Glidance, will speak about assistive applied sciences at 2:30 p.m. in Room 260.

Robotics Engineering Theater classes

Day 2 of the Robotics Summit & Expo consists of three classes within the Robotics Engineering Theater on the present ground:

  • Streamlining Design to Manufacturing By Automated Documentation: Mai Bui, the co-founder and CEO of Quarter20, will begin this session at 11:00 a.m.
  • From Immediate to Prototype: Constructing RealSense-powered Robotics with Copilot: This presentation by Chris Matthieu, the chief developer evangelist at Intel RealSense, will start at 11:45 a.m.
  • MassRobotics Kind & Perform Problem Finale: We’ll be closing out the Engineering Theater with the problem finale, led by Russell Nickerson, the companion engagement liaison at MassRobotics. It’ll begin at 12:30 p.m.

We look ahead to seeing you on the Robotics Summit & Expo!