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.
1054 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.
Tong Zhou, Eric, and Chang An of Rhoda AI discuss their Direct Video Action approach to robot control with the RoboPapers host and audience.
Francesco Ferro, CEO of PAL Robotics, discusses the company’s humanoid and service robots, its retail deployments, and how he has built the business with Andreas Orthey on the Andreas Orthey Podcast.
Andrea Bajcsy of Carnegie Mellon University gives the 2026 Spring Robotics Colloquium at the Paul G. Allen School, discussing how to make generalist robots safer.
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.
Colin Angle, co-founder of iRobot and CEO of Familiar Machines and Magic, discusses the company’s home robot and its focus on companionship with John Koetsier on NEXT.
Tingnan Zhang, staff research scientist and whole-body AI team lead at Google DeepMind, discusses general-purpose robotics at a Purdue ICON Spring 2026 seminar.
Sergey Levine, UC Berkeley EECS professor and Physical Intelligence co-founder, discusses robot foundation models at an EMBER Center seminar at UC Berkeley.
Ayyub Musa, an engineering student and robotics creator, describes building a lower-cost, lighter capstan-driven robot dog with his senior design team.
Idan Shenfeld, a fourth-year MIT PhD student advised by Pulak Garhwal, explains how self-distillation can help language models learn new tasks while retaining earlier abilities at the Robot Perception and Learning Lab.
Jim Fan, who leads NVIDIA’s embodied autonomy research group, presents at Sequoia Capital on how robotics could adapt AI’s scaling playbook through world action models, human data, and simulated environments.
Melvin Tolliver IV, an integration technician at 1X, and colleagues at its Hayward factory describe assembling Neo, learning on the job, and the help they hope the robot will provide at home.
Brett Adcock, founder of Figure, discusses humanoid robot development, manufacturing, and commercialization with Molly O’Shea on Sourcery.
Scott Walter joins The Humanoid Hub host to analyze Tesla’s Optimus hand and production plans, Figure’s robot output, and humanoid robots’ performance in the Beijing half marathon.
HKUST PhD student and NVIDIA research intern Shenyuan Gao, with Berkeley PhD student William Liang, discuss DreamDojo’s robot world model on RoboPapers.
Bloomberg Originals host and narrator, with 1X founder Bernt Børnich, UC Berkeley professor Ken Goldberg, GXO’s Patrick Kelleher, and other robotics, industry, and labor experts, examines humanoid robots’ potential and the hurdles they face in factories, warehouses, homes, and hospitals.
Arsalan Mousavian, senior robotics research scientist at NVIDIA, discusses robotics research and manufacturing applications with Norman at the Innovation Forum.
Arsalan Mousavian, senior robotics research scientist at NVIDIA, explains simulation-trained robotics and AI at the August Innovation Forum with host Norman and audience members.
Tapomayukh Bhattacharjee, who leads the EmPRISE Lab at Cornell University, discusses building personalized physical caregiving robots, drawing on work with users, caregivers, and occupational therapists at Cornell and UW.
Aaron Ames, a professor of mechanical engineering, answers audience questions about robotics on WIRED’s “Robotics Support.”
A Humanoid representative discusses the company’s Level Up technology and factory workflows at Hannover Messe 2026, exhibiting with Siemens.
Applied Intuition co-founders Peter Ludwig, CTO, and Qasar Younis, CEO, join Latent Space hosts Alessio Fanelli and swyx to discuss building AI for vehicles and other physical machines.
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.
Glen Berseth, assistant professor at Université de Montréal and Mila, discusses using pretrained models, reinforcement learning, and search to improve embodied control at the Spring 2026 GRASP Seminar, hosted by GRASP Lab.
Tom Zhang of Daxo Robotics discusses robotic hand design, the company’s technology and its path from student research and agricultural products to a dexterous hand at a GRASP Lab talk at Penn.
Galbot presents LDA, a world action foundation model for training robots with embodied data of different quality levels.
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.
An Astrobotic representative discusses the Chakram rotating detonation engine, its test results, and potential uses in the company’s vehicles and lunar landers.
Skild’s presenters demonstrate a robot cooking omelets and discuss how its vision based model handles retries, heat, and precise manipulation.
Deepak Pathak and Abhinav Gupta, Skild co-founders and robotics researchers, explain Skild’s general-purpose robot brain on the NVIDIA AI Podcast with host Noah Kravitz.
Skyentific’s presenter explains how they built and trained a bipedal robot with NVIDIA Isaac Sim and Isaac Lab, transferred its policy to hardware, and explored Isaac Lab Arena.
Khan, co-founder of Weave Robotics, discusses building and deploying home laundry-folding robots with Chris and JFA on RoboPapers.
MIT postdoc Congyue Deng, speaking for the Robot Perception and Learning Lab, discusses how visual and action representations can help robots generalize across objects and tasks.
Host speaks with Scott Walter, a roboticist known for humanoid hardware analysis, on The Humanoid Hub about Tesla Optimus hand patents and what they reveal about the hand’s design.
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.
Chuning Zhu, a robotics researcher at the University of Washington, presents research on scaling robot learning with world models at the Spring 2026 GRASP SFI seminar hosted by GRASP Lab.
Rich Walker, director of Shadow Robot Company, discusses dexterous robot hands, their design trade-offs, and the challenges of bringing robotics into practical use with Robot Talk host Claire Asher.
Briefs summarise talks and interviews; timestamps open the video at that moment. Claims in a talk are the speaker's own.