Talks and interviews

• 1:02:10

  RoboPapers· Oct 22, 2026

  Ep#112: SlipSense and Touch2Trace

  Tawu, DexAI Group lead at Analog Devices, and teammates Tong, Salai, Matthew, and Marty discuss SlipSense and Touch2Trace with the RoboPapers host.

• 53:04

  RoboPapers· Oct 9, 2026

  Ep#111: SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning

  Philip Schroeder, an MIT computer science PhD student, and Thomas Wang, a research scientist at the Robotics and AI Institute, discuss SOLE-R1 with the RoboPapers hosts and audience.

• 53:36

  RoboPapers· Oct 7, 2026

  Ep#110: ENPIRE: Agentic Robot PolicySelf-Improvement in the Real World

  Wley Atasier, a CMU PhD student, presents EMPIRE with CMU master’s students Jia and Tonha on RoboPapers, explaining how coding agents can improve robot policies through real-world experiments.

• 48:57

  RoboPapers· Oct 5, 2026

  Ep#109: Enigma - Connecting 100 Robots To The Internet

  Jonathan Jacobe of Enigma discusses foundation models and robot interfaces with the RoboPapers hosts, drawing on Enigma’s online deployment of more than 100 robots.

• 51:56

  RoboPapers· Oct 1, 2026

  Ep#108: VLS: Steering Pretrained Robot Policies via Vision–Language Models

  Sha Liu, research engineer at Cortex Robotics AI, presents VLS, a method for steering pretrained robot policies at inference time, with Ishnit on RoboPapers.

• 42:45

  RoboPapers· Sep 14, 2026

  Ep#104: Light-Loco-Parkour: Versatile Perceptive Whole-Body Locomotion via Multi-Skill Distillation

  Homin (Sha), a graduate student and algorithm intern at Light Origins, discusses a single depth-guided robot policy for precise walking and whole-body parkour with RoboPapers hosts and co-author Yuna.

• 47:57

  RoboPapers· Sep 9, 2026

  Ep#103: Freeform Preference Learning for Robotic Manipulation

  Stanford PhD student Marcelo and second-year master’s student Anupa, working with Professor Chelsea Finn’s lab, discuss freeform preference learning for robotic manipulation with RoboPapers hosts Michael and J.

• 1:09:09

  RoboPapers· Sep 8, 2026

  Ep#102: EgoSuite-Open100K from Lightwheel

  Steve Sier, founder and CEO of Lightwheel, discusses the EgoSuite-Open100K dataset and Lightwheel’s data and simulation work with RoboPapers hosts Michael and Jaffy.

• 51:26

  RoboPapers· Sep 4, 2026

  Ep#101: Coupled Local and Global World Models for Efficient First Order RL

  Joseph Amigo, a second-year PhD student, and Ruhollah, a fourth-year PhD student at NYU, discuss their paper on robot reinforcement learning with RoboPapers hosts.

• 1:29:00

  RoboPapers· Sep 2, 2026

  Ep#100: 100 Episodes of Embodied AI

  RoboPapers hosts Michael, Chris, Jeff, and new co-host RJ discuss the podcast’s first 100 episodes, robotics research trends, and plans for its next chapter.

• 42:33

  RoboPapers· Aug 24, 2026

  Ep#98: LDA -1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion

  Jang Ren, a Peking University pre-PhD researcher collaborating with Galbot, Tsinghua University, SG2, Calia, and NVIDIA, discusses LDA-1B and its approach to training robot action models from mixed embodied data with RoboPapers hosts Chris and Michael.

• 1:07:19

  RoboPapers· Aug 18, 2026

  Ep#99: DYNA-2: A 1 Million Hour Scaling Law for World-Action Models

  Jason, co-founder of DYNA, and DYNA researchers Tianyu, Quan, and Chad discuss DYNA-2’s robotics pretraining and deployment results with the Robo Papers hosts and audience.

• 59:53

  RoboPapers· Aug 14, 2026

  Ep#97: Cross-Embodiment Robot Manipulation via a Unified Hand Action Space

  Felipe, a researcher at UT Dallas’s Intelligent Robotics and Vision Lab, presents a cross-embodiment robot manipulation method with Yushang and collaborators from ASU’s Interactive Robotics and Intelligent Systems Lab on RoboPapers.

• 36:32

  RoboPapers· Aug 12, 2026

  Ep#96: EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstratio

  Modi, a PhD researcher at Shanghai Innovation Institute, joins RoboPapers host Mike to explain EgoHumanoid, a method for combining human demonstrations with robot data to train humanoid loco-manipulation policies.

• 49:19

  RoboPapers· Aug 5, 2026

  Ep#95: Action-to-Action Flow Matching

  Jingtao, first author and researcher at NTU’s MARS Lab, and Jianfei, an assistant professor at NTU, discuss their robot policy research with RoboPapers host Chris, including Action-to-Action Flow Matching and related follow-up work.

• 1:16:39

  RoboPapers· Aug 3, 2026

  Ep#94: Learning a Thousand Tasks in a Day

  Edward Jones, robotics professor at Imperial College London, joins PhD students Camille and Pedro on RoboPapers with host Michael to discuss their paper on teaching robots many manipulation tasks from single demonstrations.

• 1:00:09

  RoboPapers· Jul 29, 2026

  Ep#93: CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy

  Bria, a first-year PhD student, and Janette Boke, an associate professor at Stanford, discuss CHORUS, a decentralized multi-robot collaboration policy, with RoboPapers host Michael.

• 1:10:03

  RoboPapers· Jul 25, 2026

  Ep#92: Human Universal Grasping

  Kevin Ma, a first-year NYU PhD student, and Dandan, a recent University of Michigan graduate now at Meta, discuss their Human Universal Grasping research with RoboPapers hosts Chris and Michael.

• 39:20

  RoboPapers· Jul 8, 2026

  Ep#89: Contact Grounded Policy

  Purdue University PhD student Chong Tong and University of Wisconsin–Madison PhD candidate Yeping discuss Contact-Grounded Policy, work they did as Meta interns, with RoboPapers host Jon and audience members.

• 55:05

  RoboPapers· Jul 1, 2026

  Ep#88: DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulation

  Suzannah Wistreich, incoming Stanford PhD student, and Baiyu Shi, a third-year Stanford mechanical engineering PhD student, discuss DexSkin, their conformable tactile sensor, and its manipulation experiments with RoboPapers hosts and audience members.

• 1:02:24

  RoboPapers· Jun 18, 2026

  Ep#87: MolmoAct 2: An open foundation for robots that work in the real world

  Jiafei, an AI2 and University of Washington robotics researcher and incoming NUS assistant professor, and Henchin Fang, a recent University of Washington graduate joining Stanford for a PhD, discuss MolmoAct 2 with the RoboPapers hosts.

• 53:46

  RoboPapers· Jun 12, 2026

  Ep#86: RISE: Self-Improving Robot Policy with Compositional World Model

  Ji Qi Yang, a second-year PhD student at the Chinese University of Hong Kong, discusses RISE and its compositional world model with the RoboPapers hosts.

• 1:01:04

  RoboPapers· Jun 4, 2026

  Ep#85: Tutor Intelligence

  Tutor Intelligence’s presenters, including Joe, Jess, and Sherz, describe their robot data and learning system with RoboPapers hosts and audience members.

• 1:08:44

  RoboPapers· May 20, 2026

  Ep#81: mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs

  Elvis, co-founder and CTO of Mimic Robotics, discusses video-action models and robot learning with the RoboPapers hosts.

• 55:31

  RoboPapers· May 14, 2026

  Ep#80: LATENT: Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data

  Haofei Lu, a Tsinghua University master’s student and Google Robotics research intern, and Yunray Lian, a Tsinghua University master’s student and Google research intern, discuss LATENT and humanoid tennis with the RoboPapers hosts and guests.

• 1:09:11

  RoboPapers· May 6, 2026

  Ep#79: Rhoda AI - Causal Video Models Are Data-Efficient Robot Policy Learners

  Tong Zhou, Eric, and Chang An of Rhoda AI discuss their Direct Video Action approach to robot control with the RoboPapers host and audience.

• 1:10:46

  RoboPapers· May 5, 2026

  Ep#78: Three Eras of Robot Learning

  Tetsuya, a former Google DeepMind robot-learning researcher, reviews three eras of robot learning and discusses the field’s direction with the RoboPapers host and audience.

• 1:02:59

  RoboPapers· Apr 29, 2026

  Ep#77: DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

  HKUST PhD student and NVIDIA research intern Shenyuan Gao, with Berkeley PhD student William Liang, discuss DreamDojo’s robot world model on RoboPapers.

• 48:22

  RoboPapers· Apr 27, 2026

  Ep#76: OmniXtreme: Breaking the Generality Barrier in High-Dynamic Humanoid Control

  Yunshen Wang and Shaohang Zhu, paper authors from BIGAI and collaborating institutions including Unitree Robotics, discuss OmniXtreme’s approach to general high-dynamic humanoid control with RoboPapers hosts and audience.

• 1:01:20

  RoboPapers· Apr 23, 2026

  Ep#75: TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics

  Shay, a fifth-year PhD student at the University of Washington and student researcher at AI2, and Cole Harrison, a machine learning engineer at Amazon and AI2 collaborator, discuss TOPReward with the RoboPapers host.

• 46:59

  RoboPapers· Apr 20, 2026

  Ep#74: Weave Robotics

  Khan, co-founder of Weave Robotics, discusses building and deploying home laundry-folding robots with Chris and JFA on RoboPapers.

• 44:21

  RoboPapers· Apr 18, 2026

  Ep#73: VideoManip: Dexterous Manipulation Policies from RGB Human Videos via 3D Hand-Object Traject

  Hongyi Chen, a PhD researcher at Carnegie Mellon’s Robotics Institute, explains VideoManip on RoboPapers with host Mike, showing how RGB human video can train dexterous robot manipulation.

• 1:01:11

  RoboPapers· Apr 8, 2026

  Ep#71: Build Your Own Robot

  Mahi, Jeff, Manan, and Anis, robotics researchers and engineers associated with NYU and Berkeley, discuss building an open-source mobile manipulator with the RoboPapers host and audience.

• 1:11:00

  RoboPapers· Mar 25, 2026

  Ep#69: MolmoSpaces, an Open Ecosystem for Embodied AI

  Research engineer Yujin Kim and co-authors Omar Rayan, a UCLA PhD student, and Max Argus, an AI2 postdoc, discuss MolmoSpaces with RoboPapers host Chaffee and the audience.

• 42:31

  RoboPapers· Mar 20, 2026

  Ep#68: DreamZero: World Action Models are Zero-Shot Policies

  Seonghoon, a PhD student at KAIST and research intern at NVIDIA, explains DreamZero, a world action model for zero-shot robot policies, in a Robo Papers conversation with host Michael.

• 52:46

  RoboPapers· Mar 18, 2026

  Ep#67: Asimov - Open Source Humanoid

  Selim, an embedded software engineer, and Alejandro, a lead mechanical engineer at Singapore-based Menlo Research, discuss the Asimov open-source humanoid with the RoboPapers hosts.

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