Podcast Episodes
Back to SearchRoboTok: Turning the Internet Into a Motion Search Engine for Dexterous Robots
RoboTok retrieves human hand-pose trajectories from internet videos to automatically generate scalable robot training data for dexterous manipulation…
4 weeks ago
VLAct: The VLA Backbone Is Not Just Plumbing
VLAct proposes a representation-centric continued pre-training approach for Vision-Language-Action models that converts limited robot data into trans…
4 weeks ago
Two Models, One Gradient: Making World-Model RL Work for Contact-Rich Robots
Breaks intractable full world-model RL into a heavy global trajectory model combined with a lightweight latent local dynamics approximator, enabling …
4 weeks, 1 day ago
GigaBrain-0.7: Scaling Robot Intelligence by Separating Acting, Thinking, and Imagining
Introduces a three-system architecture for scaling embodied foundation models, representing a new approach to large-scale embodied AI. In this episod…
4 weeks, 1 day ago
Geometry Is the Contact Plan: Bringing Surface Reasoning Into MPC
Geometry-Informed Contact Optimization and Model Predictive Control for Efficient Contact-Rich Manipulation In this episode of Embodied AI 101, we ex…
1 month ago
A Swarm That Knows Its Margin: Safe Multi-Drone Transport With CBF-RL
Safe and Scalable Multi-Drone Payload Transport via CBF-Based Reinforcement Learning With Zero-Shot Sim-to-Real Transfer In this episode of Embodied …
1 month ago
The Optimizer Becomes a Policy: Inside RP-1's Learned Planner for Robot World Models
Pantheon Industries introduces Reinforced Planning (RP-1), the first fully learned planner that iteratively improves robot action plans from scratch …
1 month ago
SAGA: Ground the Affordance, Then Learn the Motion
SAGA: Open-World Mobile Manipulation via Structured Affordance Grounding In this episode of Embodied AI 101, we explore "SAGA: Ground the Affordance,…
1 month ago
REMAC: Turning Robot Failures into Better Team Plans
REMAC: Self-reflective and self-evolving multi-agent collaboration for long-horizon robot manipulation In this episode of Embodied AI 101, we explore…
1 month ago
Restore the Sensor Contract: Training-Free Robustness for Brittle VLA Policies
Vision–Language–Action (VLA) policies remain brittle under modest distribution shift. On LIBERO-Plus, contemporary models that solve clean tasks at h…
1 month ago