OLogic CEO to discuss egocentric robot learning at RoboBusiness 2026
Ted Larson, co-founder and CEO of OLogic, is scheduled to present on the emerging field of egocentric robot learning at the RoboBusiness conference in Santa Clara, California, on October 21, 2026. This approach involves training robots using first-person human demonstrations captured via wearable cameras and teleoperation systems. The method aims to accelerate the acquisition of complex…
Key points
- Ted Larson of OLogic will present on egocentric robot learning at RoboBusiness 2026 in Santa Clara.
- Egocentric learning uses first-person human demonstrations to teach robots complex manipulation skills.
- The approach aims to reduce deployment costs and time for commercial robotics in various industries.
Larson’s session, titled “Egocentric Robot Learning: Teaching Robots Through Human Experience,” will address the technical challenges and foundational principles of this paradigm. He will explore how embodied AI and multimodal data collection are reshaping robot development. The presentation highlights the potential for egocentric learning to reduce the time, cost, and expertise required to deploy robotic systems in sectors such as manufacturing, logistics, and healthcare.
The conference serves as a key venue for commercial robotics developers to connect with experts on industry trends. By bridging the gap between research innovation and scalable real-world applications, these technologies aim to address growing labor shortages and operational complexity. OLogic, an embedded systems R&D firm, brings over 25 years of experience in robotics and consumer electronics to this discussion.
OLogic to share how robots can learn from human demonstrations at RoboBusiness
The Robot Report · 16 September 2026
Egocentric robot learning is emerging as a powerful approach for developing more capable, adaptable, and scalable robotic systems. By learning from first-person human demonstrations captured through wearable cameras, teleoperation systems, and embodied AI platforms, robots can acquire complex manipulation and decision-making skills in ways that more closely mirror human learning.
This paradigm has gained significant momentum through advances from organizations such as NVIDIA, Google DeepMind, Meta, and a growing ecosystem of robotics startups focused on foundation models, imitation learning, and embodied intelligence. As labor shortages, increasing customization demands, and operational complexity continue to challenge industries, egocentric learning offers a path to reducing the time, cost, and expertise traditionally required to deploy robotic systems. By enabling robots to learn directly from human behavior, organizations can accelerate automation across manufacturing, logistics, healthcare, service robotics, and other commercial applications.
At RoboBusiness, Ted Larson, the co-founder and CEO of OLogic, will lead the session, “Egocentric Robot Learning: Teaching Robots Through Human Experience.” RoboBusiness will take place October 20-21, 2026, in Santa Clara, Calif.
In this session, which starts at 10:45 a.m. on the second day of the show, Larson will explore the foundations of egocentric robot learning, the technical challenges involved in building these systems, and their implications for the future of commercial robotics. Attendees will gain insight into how advances in embodied AI, multimodal data collection, and large-scale robot learning are reshaping robot development and deployment. The presentation will examine both the opportunities and challenges ahead, highlighting how egocentric learning can help bridge the gap between research innovation and scalable, real-world robotic applications.
Ted Larson is CEO and co-founder of OLogic, an embedded systems research and development company with a focus on robotic applications and technologies. Larson has over 25 years of experience designing robots and consumer electronics. His current interest areas are robotics, artificial intelligence, and embedded systems in consumer and professional electronic devices.
Larson graduated from California Polytechnic State University with B.S. and M.S. degrees in Computer Science. He has worked on numerous robotics projects with leading corporations including Google, Hasbro, Savioke and Panasonic. Larson has spoken at several of the past RoboBusiness events, the annual Silicon Valley conference that has helped business leaders understand where the market is going, and which has assisted in implementing their robotics vision within their organizations.
Register now for RoboBusiness
RoboBusiness 2026 is the leading event for commercial robotics developers. Attendees will gain the latest insights from experts in robotics and AI on cutting-edge research; industry trends; and innovative applications in sectors such as manufacturing, healthcare, agriculture, logistics, and more.
The show also features a number of networking opportunities to give attendees the chance to connect with other experts in the industry.
Buy your full conference pass and gain full access to all keynotes, technical sessions, networking receptions, and special events. Discounts are also available for academia, associations, and corporate groups. Please email events[at]arrowfly.com for more details about our discount programs.
This text was published by The Robot Report and written by The Robot Report Staff. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us.
More in Robotics & Physical AI
All →- New research highlights critical cybersecurity gaps in AI-driven physical robots · 1 src
- Agility Robotics unveils Digit 5, a humanoid worker with safety, lift and 20‑hour runtime · 5 src
- Robotics researchers detail strategies to close the embodiment gap for cross-body AI · 1 src
- InOrbit launches OpenRobOps, first ISO 21423 reference implementation for robot fleets · 1 src
- Unitree founder's micromanagement drives low-cost humanoid robot success · 1 src
Comments
via GitHub Discussions