Event logistics: RoboBusiness 2026 runs October 20-21, 2026, in Santa Clara, Calif., celebrating 20 years of the leading event for commercial robotics developers.
- Emerging approach: Egocentric robot learning develops more capable, adaptable, and scalable robotic systems by learning from first-person human demonstrations captured through wearable cameras, teleoperation systems, and embodied AI platforms.
- Deployment economics: Egocentric learning can reduce the time, cost, and expertise required to deploy robotic systems, with advances driven by NVIDIA, Google DeepMind, Meta, and robotics startups.
- Session details: Ted Larson, CEO and co-founder of OLogic, presents "Egocentric Robot Learning: Teaching Robots Through Human Experience" at 10:45 a.m. on day two of RoboBusiness 2026.
- Speaker credentials: Larson has over 25 years of experience designing robots and consumer electronics, with project work at Google, Hasbro, Savioke, and Panasonic; OLogic contributed to robots from Bear Robotics, Locus Robotics, Zoetic, Simbe Robotics, and Misty Robotics.
Programming a robot to handle a new task has traditionally meant weeks of engineering effort, custom fixtures, and specialized expertise on the factory floor. Egocentric robot learning is emerging as an approach that could change that calculus — one where robots learn from first-person human demonstrations instead of hand-coded instructions.
Learning from a first-person view
Egocentric robot learning is an approach for developing more capable, adaptable, and scalable robotic systems. Rather than relying on conventional programming pipelines, robots can learn from first-person human demonstrations captured through wearable cameras, teleoperation systems, and embodied AI platforms.
The momentum behind this paradigm is real. Advances in egocentric learning are driven by organizations like NVIDIA, Google DeepMind, Meta, and a growing field of robotics startups. For manufacturers, the practical appeal is straightforward: egocentric learning can reduce the time, cost, and expertise required to deploy robotic systems — three constraints that have historically gated automation adoption.
What Larson will cover at the show
Ted Larson, CEO and co-founder of OLogic, will lead a session at RoboBusiness 2026 titled:
Egocentric Robot Learning: Teaching Robots Through Human Experience.
The session begins at 10:45 a.m. on the second day of the show. Larson's talk will explore the foundations, technical challenges, and implications of egocentric robot learning — and will examine how advances in embodied AI, multimodal data collection, and large-scale robot learning are reshaping robot development and deployment.
Larson brings credible depth to the subject. He has over 25 years of experience designing robots and consumer electronics, and has worked on robotics projects with companies like Google, Hasbro, Savioke, and Panasonic. OLogic itself is an embedded systems research and development company with a focus on robotic applications and technologies. Its engineering fingerprints appear on robots including Bear Robotics' AMR, Locus Robotics' AMR, Zoetic's KiKi social robot, Simbe Robotics' Tally, and Misty Robotics' personal robot.
The event context
RoboBusiness 2026 is the leading event for commercial robotics developers, taking place October 20-21, 2026, in Santa Clara, Calif. The show will celebrate 20 years of the event this year, building on RoboBusiness 2025's momentum.
Attendees will gain insights into cutting-edge research, industry trends, and innovative applications in sectors like manufacturing, healthcare, agriculture, and logistics. The event also offers networking opportunities for attendees to connect with industry experts.
Why it matters for manufacturing
The honest caveat: bridging research innovation and scalable, real-world deployment remains hard, and Larson's session acknowledges that challenge directly. But for engineering teams evaluating their next automation investment, the promise of robots that learn by watching — rather than waiting for reprogramming — is worth a seat in Santa Clara.
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