RoboPapers· Jun 25, 2025
Ep#16 TWIST: Teleoperated Whole-Body Imitation System
Yanji, a first-year Stanford PhD student, discusses TWIST, a system for teleoperating humanoid robots with whole-body motion, with the RoboPapers hosts Michael and Chris.
Talks and interviews
1064 talks, interviews and lectures on humanoid robots, each summarised with its key moments, so you can read the gist and jump to the part you need.
- RoboPapers· Jun 12, 2025
Ep#13 Instant Policy: In-Context Imitation Learning via Graph Diffusion
Edward Johns, director of Imperial College London’s Robot Learning Lab, and PhD student Vitalis Forlini discuss Instant Policy, their graph diffusion approach to in-context imitation learning, with RoboPapers hosts Michael and Chris.
- RoboPapers· Jun 10, 2025
Ep#10 Humanoid Policy ~ Human Policy
Roger Chu, a PhD researcher at UC San Diego working with Professor Shaolong Wang, joins RoboPapers hosts Michael and Chris to discuss using task-specific human demonstrations to improve humanoid robot learning.
- RoboPapers· May 25, 2025
Ep#9: AutoEval - Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World
Paul, a Berkeley PhD student advised by Sergey Levine, presents AutoEval, a system for evaluating robot manipulation policies on real robots, with RoboPapers hosts Michael and Chris.
- RoboPapers· Apr 27, 2025
Ep#7 AnyDexGrasp: Learning General Dexterous Grasping for Different Hands
Hu, a postdoc at MIT who conducted the AnyDexGrasp research during his PhD at Shanghai Jiao Tong University, discusses the system with the Robo Papers hosts.
- RoboPapers· Apr 24, 2025
Ep#6 with Yang Gao: FP3: A 3D Foundation Policy for Robotic Manipulation
Yang Gao, assistant professor at Tsinghua University and founder of Spirit AI, discusses FP3, a 3D policy for robotic manipulation, with the RoboPapers hosts.
- RoboPapers· Apr 8, 2025
Ep#5 R+X: Retrieval & Execution from Human Videos
Research scientists Norman and Giorgos, working on the paper at Imperial College’s Robot Learning Lab, discuss learning robot tasks from human videos with RoboPapers hosts.
- RoboPapers· Mar 27, 2025
Ep#4 Vision Language Models are In-Context Value Learners
Jason Ma, a robotics researcher at the University of Pennsylvania who worked on the paper at Google DeepMind, joins RoboPapers hosts Michael and Chris to discuss using vision-language models to assess robot task progress and data quality.
- RoboPapers· Mar 20, 2025
Ep#3 Sim-to-Real RL for Vision-Based Dexterous Manipulation on Humanoids
Toru, a UC Berkeley PhD student working with Jitendra Malik, discusses vision-based sim-to-real reinforcement learning for humanoid manipulation with RoboPapers hosts.
- RoboPapers· Mar 15, 2025
Ep#2 Robot Utility Models
My Hieu Pham, a fifth-year PhD student at NYU, discusses Robot Utility Models with the RoboPapers hosts and guests, drawing on work with NYU, Meta, and Hello Robot.
Briefs summarise talks and interviews; timestamps open the video at that moment. Claims in a talk are the speaker's own.