Talks and interviews

• 51:43

  RoboPapers· Mar 11, 2026

  Ep#66: Ordered Action Tokenization

  Chi discusses ordered action tokenization, inference trade-offs, and future research with the RoboPapers host and audience.

• 55:51

  RoboPapers· Feb 26, 2026

  Ep#64: Project Instinct

  Zuan and Shouting Drew, Project Instinct coauthors working on robotics hardware and learning algorithms, discuss humanoid whole-body control and their open-source research toolkit with RoboPapers host Jaffy.

• 1:08:50

  RoboPapers· Feb 19, 2026

  Ep#63: NovaFlow: Zero-Shot Manipulation via Actionable Flow from Generated Videos

  Hongyu Lee, a PhD student at Brown, and Ju, a research scientist at the AI Institute, discuss NovaFlow, their zero-shot robot manipulation work, with the RoboPapers host and audience.

• 59:36

  RoboPapers· Feb 11, 2026

  Ep#62: PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies

  Arhan, a PhD student at the University of Washington, and Carl, a robotics researcher at Physical Intelligence, discuss PolaRiS and how it uses real-to-simulation methods to evaluate robot policies with RoboPapers’ Chris and other guests.

• 54:52

  RoboPapers· Feb 4, 2026

  Ep#61: 1x World Model

  Daniel Ho, head of evaluation at 1X, discusses robot world models, policy learning, and evaluation with the RoboPapers hosts, including Chris.

• 1:13:32

  RoboPapers· Jan 28, 2026

  Ep#60: Sim-to-Real Manipulation with VIRAL and Doorman

  CMU PhD student Tyran and UC Berkeley PhD student Haru discuss NVIDIA internship projects VIRAL and Doorman, which use simulation to transfer humanoid manipulation policies to real robots, with RoboPapers hosts Chris and Jeff.

• 48:57

  RoboPapers· Jan 21, 2026

  Ep#59: SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies

  Nadun and Juny, second-year PhD students at Georgia Tech, explain SAIL, their co-authored approach to faster imitation-learning policy execution, with RoboPapers host Michael.

• 46:06

  RoboPapers· Dec 22, 2025

  Ep#56: GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation

  Guantani, a UC San Diego master’s student working with Professor Xiaolong Wang, joins RoboPapers hosts Chris and Michael to discuss GSWorld, a photo-realistic simulation suite for robotic manipulation developed with UCLA and Meta Reality Labs.

• 50:41

  RoboPapers· Dec 17, 2025

  Ep#54: MemER: Scaling Up Memory for Robot Control via Experience Retrieval

  Stanford researchers Jenny, AJ, and Sautik discuss their MemER robot memory system with the RoboPapers host and audience.

• 46:08

  RoboPapers· Dec 12, 2025

  Ep#52: Probe, Learn, Distill: Self-improving Vision-Language-Action Models

  Wenley, a Cornell University PhD student who worked on the research during an internship at NVIDIA’s Gear Lab, discusses PLD with the RoboPapers hosts and audience: a method for improving vision-language-action policies through real-world reinforcement learning, trajectory collection, and distillation.

• 53:50

  RoboPapers· Dec 10, 2025

  Ep#51: Humanoid Everyday

  Ria, a USC assistant professor, and her student coauthors discuss their Humanoid Everyday dataset and humanoid manipulation research with the RoboPapers hosts.

• 1:04:23

  RoboPapers· Dec 8, 2025

  Ep#50: EMMA: Scaling Mobile Manipulation via Egocentric Human Data

  Georgia Tech master's students Lawrence and Pranav discuss EMMA, their approach to scaling mobile manipulation with egocentric human data, on RoboPapers with hosts Michael and Chris.

• 50:16

  RoboPapers· Dec 5, 2025

  Ep#49: Learning a Unified Policy for Position and Force Control in Legged Loco-Manipulation

  Bong, a research scientist at BIGAI, explains sensor-free force and position control for legged robots and human-humanoid collaboration with the RoboPapers hosts.

• 48:40

  RoboPapers· Dec 2, 2025

  Ep#47: ResMimic: From General Motion Tracking to Humanoid Whole-Body Loco-Manipulation via Residual

  USC PhD student Suhang and Stanford PhD student Yi discuss ResMimic, their humanoid whole-body locomotion and object manipulation method, with RoboPapers host Michael and the show’s guests.

• 56:48

  RoboPapers· Dec 1, 2025

  Ep#46: ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training

  Gian, a PhD student at the University of Washington working with Professor Dieter Fox, discusses ManiFlow with the RoboPapers hosts; the project brings together researchers at the University of Washington and UC San Diego.

• 1:01:08

  RoboPapers· Nov 26, 2025

  Ep#45: HERMES:

  Joan and Tming, PhD students at Tsinghua University’s Embodied AI Lab, discuss HERMES, their framework for learning mobile dexterous manipulation from multiple motion sources, with the RoboPapers hosts.

• 1:05:21

  RoboPapers· Nov 24, 2025

  Ep#44: From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Mod

  Nishant Kumar, a fifth-year PhD student at MIT, discusses learning symbolic world models from human demonstrations with the RoboPapers hosts.

• 57:45

  RoboPapers· Nov 20, 2025

  Ep#043: Attention-based map encoding for learning generalized legged locomotion

  ETH PhD student Chong Jang discusses attention-based map encoding for generalized legged locomotion with RoboPapers’ hosts.

• 1:01:15

  RoboPapers· Nov 4, 2025

  Ep#40: Daxo Robotics with Tom Zhang

  Tom Zhang, founder and CEO of Daxo Robotics, discusses the company’s tendon-driven robotic hand and its design, capabilities, and possible applications with the RoboPapers hosts.

• 1:21:20

  RoboPapers· Oct 28, 2025

  Ep#39: MolmoAct: An Action Reasoning Model that reasons in 3D space

  Jaff, Jason Lee, and Hochen Hen, student researchers and MolmoAct authors at the University of Washington and AI2, discuss their 3D-aware robot action model with the Robo Papers hosts.

• 48:48

  RoboPapers· Oct 17, 2025

  Ep#36: Whole-Body Conditioned Egocentric Video Prediction

  Uton, a postdoctoral researcher at UC Berkeley, discusses whole-body conditioned egocentric video prediction with the RoboPapers hosts and audience.

• 1:02:24

  RoboPapers· Oct 8, 2025

  Ep#35: Reinforcement Learning with Action Chunking

  UC Berkeley PhD students Colin Lee and Paul Zhao, working with Sergey Levine, discuss reinforcement learning with action chunking on RoboPapers with hosts Michael and Chris.

• 47:31

  RoboPapers· Oct 3, 2025

  Ep#34: RoboArena

  Kyle Pertsch, a technical staff member at Physical Intelligence, and Praveen, a UC Berkeley RAIL Lab PhD student, discuss RoboArena with the RoboPapers host and audience.

• 1:21:36

  RoboPapers· Sep 26, 2025

  Ep#33: A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search

  Gokul, a final-year PhD student at Carnegie Mellon’s Robotics Institute, presents SEALER with coauthors Vip and a Mila PhD student, discussing how test-time search can help imitation-learning robots recover from mistakes; they join the RoboPapers hosts for a discussion.

• 56:17

  RoboPapers· Sep 17, 2025

  Ep#31: Vision in Action: Learning Active Perception from Human Demonstrations

  Incoming MIT student and robotics researcher Hawi Shong discusses learning active perception from human demonstrations on RoboPapers with the host and audience.

• 1:09:59

  RoboPapers· Sep 12, 2025

  Ep#30: R2S2: Unleashing Humanoid Reaching Potential via Real-world-Ready Skill Space

  Lee Yi, an assistant professor at Tsinghua University and coauthor of R2S2, discusses whole-body humanoid reaching and teleoperation with the RoboPapers hosts.

• 1:22:46

  RoboPapers· Sep 12, 2025

  Ep#29: Exploring Low Cost Robots using LLM Agents

  Hobbyist robotics and machine learning practitioner Ilya Lashanka joins RoboPapers to discuss affordable home robotics and his experiments with LeRobot, zero-shot LLM control, and lightweight learned policies.

• 57:39

  RoboPapers· Sep 12, 2025

  Ep#28: DreamGen: Unlocking Generalization in Robot Learning through Video World Model

  Joel Jung, a research scientist at NVIDIA's Gear Lab, discusses DreamGen and training robot policies from video world models with the RoboPapers hosts.

• 58:43

  RoboPapers· Sep 6, 2025

  Ep#25: DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation

  Mena, a PhD student, and Han, an incoming Stanford PhD student, discuss DexUMI, their framework for collecting dexterous manipulation demonstrations with a human-worn exoskeleton, on RoboPapers with the episode hosts.

• 58:43

  RoboPapers· Aug 27, 2025

  Ep#25: DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation

  PhD students Mena and Han, authors of DexUMI, explain their dexterous manipulation data collection and policy learning work on RoboPapers with the host and audience.

• 1:07:01

  RoboPapers· Aug 5, 2025

  Ep#24 CLONE: Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks

  Sang, a research scientist at BIGAI, and Isha, a BIGAI researcher, discuss CLONE, their whole-body humanoid teleoperation system, on RoboPapers with hosts Michael and Chris.

• 41:54

  RoboPapers· Jul 28, 2025

  Ep#23 FALCON - Learning Force-Adaptive Humanoid Loco-Manipulation

  Yan Han, an author of FALCON and an applied scientist intern with Amazon Frontier AI, discusses force-aware humanoid control with Flor and the RoboPapers audience.

• 1:03:01

  RoboPapers· Jul 28, 2025

  Ep#22 DexWild: Dexterous Human Interactionsfor In-the-Wild Robot Policies

  Mohan, a research engineer at Skild AI, and Tony, a CMU master’s student, discuss DexWild with the RoboPapers hosts, drawing on work with Deepak at CMU.

• 59:44

  RoboPapers· Jul 16, 2025

  Ep#21 TesserAct: Learning 4D Embodied World Models

  Hu Jun, a PhD student at UMass Amherst, discusses TesserAct, a 4D embodied world model, with RoboPapers hosts and Chris.

• 1:13:23

  RoboPapers· Jul 14, 2025

  Ep#20 VideoMimic

  Arthur and Hongsuk, UC Berkeley PhD students and coauthors of VideoMimic, discuss learning contextual humanoid control from human video on RoboPapers with the host and audience.

• 1:11:02

  RoboPapers· Jun 26, 2025

  Ep#17 EgoZero: Robot Learning from Smart Glasses

  Vincent Liu, co-author of EgoZero, and Ademi Adeneji, a UC Berkeley PhD student and co-author, discuss learning robot manipulation from smart-glasses recordings with RoboPapers hosts and guests.

Briefs summarise talks and interviews; timestamps open the video at that moment. Claims in a talk are the speaker's own.