HomeRoboticsBodily AI takes heart stage at RoboBusiness

Bodily AI takes heart stage at RoboBusiness


Bodily AI takes heart stage at RoboBusiness

RoboBusiness, which takes place Oct. 15-16 in Santa Clara, Calif., will function the inaugural Bodily AI Discussion board. It is going to contact on a variety of subjects in regards to the emergence of bodily AI, together with conversations round security and AI, simulation-to-reality reinforcement coaching, knowledge curation, deploying AI-powered robots, and extra.

RoboBusiness is the premier occasion for builders and suppliers of economic robots. The occasion is produced by WTWH Media, which additionally produces The Robotic ReportAutomated Warehouse, and the Robotics Summit & Expo.

This yr’s convention may also function greater than 60 audio system, a startup workshop, the annual Pitchfire competitors, and quite a few networking alternatives. RoboBusiness will embrace a observe on surgical robotics. Over 100 exhibitors on the present ground will showcase their newest enabling applied sciences, merchandise, and providers to assist remedy your robotics growth challenges.

Here’s a have a look at the schedule of the Bodily AI Discussion board at RoboBusiness.

Day 1 of the Bodily AI Discussion board

Opening Keynote: Bodily AI for the New Period of Robotics
Speaker: Deepu Talla, VP of Robotics and Edge AI, NVIDIA
Day|Time: October 15 | 9:30 AM – 10:15 AM

The massive bang of generative AI for the bodily world is right here. Bodily AI, the place fashions can understand, purpose, and act in real-world environments, is redefining what’s doable in robotics. This shift strikes us past static, rule-based automation towards adaptable, clever autonomy—able to dealing with the complexity of unstructured and high-variation duties. NVIDIA, along with a vibrant ecosystem of {hardware}, software program, and robotics companions, is accelerating this transition. By simulation-first growth, basis fashions, and real-time edge deployment, the subsequent technology of robots is being educated in digital worlds and scaled seamlessly into bodily ones. That is greater than a technological breakthrough—it’s the start of a brand new period the place clever machines assist energy the $50 trillion international financial system.


How Multi-Mannequin Resolution Brokers Enhance Efficiency, Security, Scale
Speaker: Robert Solar, Founding Engineer, Dexterity
Day/Time: October 15 | 11:30 AM – 12:15 PM

Discover how Dexterity’s Bodily AI platform permits warehouse robots to deal with advanced duties at scale. By combining industrial “superhumanoid” robots with multimodal AI, Dexterity builds methods that study from various sensor inputs – imaginative and prescient, power, audio, and proprioception – to mannequin the bodily world and adapt in actual time. Find out how a multi-model studying strategy, paired with a choice agent, accelerates robots to production-grade efficiency whereas making certain operational security. The discuss may also dive into short-horizon dexterous manipulation, long-horizon planning, and the way purpose-built {hardware} helps scalable deployment in dynamic warehouse environments.


How AI Enhances ABB’s Robotic Efficiency
Speaker: Thomas-Tianwei Wang, Lead AI Utility Engineer, ABB Robotics
Day|Time: October 15 | 1:30 PM – 2:15 PM

Discover how AI is being built-in throughout ABB’s various robotic portfolio to additional enhance efficiency and flexibility. The discuss will spotlight purposes in a number of sectors and kind components, demonstrating how AI-driven improvements are enhancing effectivity, precision, and flexibility in real-world deployments.


Sim2Real Reinforcement Studying: Coaching Robots for the Actual World
Audio system: Ken Goldberg, William S. Floyd Jr. Distinguished Chair in Engineering, UC Berkeley; Jeff Mahler, Co-Founder & CTO, Ambi Robotics
Day|Time: October 15 | 2:30 PM – 3:15 PM

The robotics business is shifting from static automation to methods that study and adapt in dynamic environments. This session explores how advances in bodily AI that mix simulation, reinforcement studying, and real-world knowledge are accelerating deployment and boosting reliability in purposes like e-commerce and logistics. Utilizing Ambi Robotics’ PRIME-1 basis mannequin as a case research, we’ll present how simulation-driven coaching and bodily suggestions allow robots to deal with various packages with velocity and precision. Attendees will achieve sensible insights into scalable, resilient approaches driving the subsequent technology of robotic manipulation.


The Generalization Hole: Why Bodily AI Wants Smarter Information Curation
Speaker: Benji Barash, Co-Founder & CEO, Roboto
Day|Time: October 15 | 4:00 PM – 4:45 PM

Because the robotics neighborhood races to construct basis fashions that generalize throughout duties, one main impediment stays: the information itself. Not like the internet-scale datasets that enabled breakthroughs in language and imaginative and prescient, robotics knowledge is high-dimensional, multimodal, and deeply tied to particular {hardware} and environments. Barash will discover why higher knowledge curation, not simply extra knowledge, is vital for Bodily AI. Robots generate huge quantities of multimodal sensor knowledge, however with out construction, a lot of it goes unused. Roboto will show new evaluation strategies which can be serving to to shut this hole. From sign similarity search that surfaces recurring patterns in time-series logs, to vision-language fashions that assist tag and triage episodes at scale, we’ll present methods to curate real-world robotics knowledge to be used in coaching generalist fashions.

Day 2 of the Bodily AI Discussion board

5 Keys to Deploying AI-Powered Robots in Manufacturing
Speaker: SK Gupta Co-Founder & Chief Scientist, GrayMatter Robotics
Day|Time: October 16 | 12:00 PM – 12:45 PM

AI-powered robotics can dramatically enhance manufacturing productiveness, high quality, throughput, and value effectivity. But many firms battle to maneuver from pilot initiatives to full deployment. Success requires extra than simply good tech – it calls for strategic planning, a transparent understanding of challenges, and powerful inner advocacy. This discuss will define 5 key methods for profitable automation deployment. Subjects embrace the significance of getting an automation champion, optimizing full workflows, and redesigning processes to leverage robots’ distinctive strengths quite than mimic human actions. The presentation may also cowl methods to calculate ROI past labor financial savings, and why workforce readiness is vital to long-term success.


AI for Dexterity & Adaptation in Excessive-Stakes Environments
Speaker: Vivian Chu, Co-Founder & Chief Innovation Officer, Diligent Robotics
Day|Time: October 16 | 1:30 PM – 2:15 PM

Hospitals are unpredictable, high-stakes environments which can be proving to be difficult environments for robots. Find out about Diligent’s hybrid autonomy strategy that blends classical robotics with fashionable AI to navigate real-world hospital variability. This has enabled the Moxi robotic to carry out duties like swiping badges, rerouting paths, and recovering from notion errors. Chu will discover how real-time adaptation, vision-language brokers, and habits tree restoration assist Moxi function in advanced, human-facing environments. She is going to share what we’ve realized from deploying at scale and the way these classes apply past healthcare to sectors like retail and workplace logistics.


Dexterous Robots within the Age of Embodied AI
Speaker: Mihai Jalobeanu, Founder & CEO, Dexman AI
Day|Time: October 16 | 2:30 PM – 3:15 PM

Find out how current advances in embodied AI are enabling robots to carry out advanced duties in unstructured environments utilizing imaginative and prescient, language, and demonstration—with out the necessity for conventional programming. By emphasizing general-purpose manipulation and real-time adaptability, AI-driven methods are broadening the scope of robotic purposes throughout manufacturing, logistics, and repair domains. Throughout this discuss, Jalobeanu will study what’s working at the moment, the place limitations stay, and the way shut we actually are to realizing a “ChatGPT for robotics.”

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