With colleague Yuke Zhu and students Mingyo Seo, Steve Han, Kyutae Sim, Seung Hyeon Bang, and Carlos Gonzalez we recently published TRILL “Deep Imitation Learning for Humanoid Loco-manipulation through Human Teleoperation”, one of the first studies on imitation learning in full humanoid robots.
PI Luis Sentis Organizes the IEEE RAS Humanoids 2023 Conference in Austin
Below is the movie reel summarizing the IEEE RAS International Conference on Humanoid Robots 2023 held last week here at The University of Texas at Austin. It was truly fantastic. Thank you for your help to IEEE RAS, the organizing committee, the sponsors, the plenary speakers, Texas Robotics, the EER building personnel, the volunteers, The University of Texas at Austin, and all attendees!
The list of sponsors for Humanoids’23 in Austin on December 12-14 is growing. Click below to see the current sponsors, the floor plan, and the details of the beautiful and spacious EER building where all exhibitions by sponsors, competitors, paper speakers, poster presenters, and workshops will take place.
Humanoid Robot Deep Imitation Learning (TRILL) Website
DRACO 3 Cooks Ramen
What does it take to cook a meal with a humanoid robot? Students Steve Han, Mingyo Seo, Hye-Young Chung, Kyutae Sim, Yifan Xu, Yuke Zhu, Seung Hyeon Bang and Carlos Gonzalez, myself and Prof. Yuke Zhu team up to explore this question as well as how we work together as a team from a Team Science perspective.
End of the Semester Goodbye
Gray Thomas Becomes Assistant Professor at Texas A&M
We are very pleased to hear that our former PhD student will become assistant professor in the Mechanical Engineering Department at Texas A&M starting next Fall. Huge congratulations Gray!
His most notable work in the lab was to design a computational framework for strength augmentation of lower body exoskeletons and deploy it in the SAGIT 5 exoskeleton system.
Balancing with Whole-Body Impulse Control
Data collection using the DRACO3 humanoid robot
HCRL Student Kyle Morgenstein Presenting at ACM/IEEE HRI in Stockholm
Kyle had a great time presented his workshop paper on “Learning Contact-based Navigation in Crowds” at the 2nd Workshop on Human-Interactive Robot Learning (HIRL 2023) at the ACM/IEEE International Conference on Human-Robot Interaction.
