Podcast Episodes
Back to SearchMotorMind: Giving a Frozen VLM the Controls
MotorMind leverages a frozen VLM with mid-level prospective actions and asynchronous feedback to control robots zero-shot on manipulation tasks, requ…
14 hours ago
MAPF-World: Why a Little Foresight Can Beat a Bigger Policy
MAPF-World: Action World Model for Multi-Agent Path Finding
14 hours ago
Digit Leaves the Lab: The Real Lesson of 500 Demonstrations
An end-to-end policy trained on ~500 teleoperation demonstrations combined with a sim-based whole-body controller achieves 80–90% success on unseen, …
1 day, 14 hours ago
VLS: Steering Frozen Robot Policies Without Retraining
VLS steers frozen diffusion and flow-matching robot policies using vision-language models to handle out-of-distribution changes such as novel obstacl…
1 day, 14 hours ago
CAST: Making Language Matter to Robot Policies
CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models In this episode of Embodied AI 101, we explore "CAST: Maki…
2 days, 14 hours ago
When the Command Disappears: What Counts as Robot Intelligence?
Robot Independent Intelligence: When Language Vanishes in Vision-Language-Action Models In this episode of Embodied AI 101, we explore "When the Comm…
2 days, 14 hours ago
Fast Plans Are Not Enough: Does the Robot Actually Use Its Plan?
Introduces a hierarchical VLA architecture that better bridges high-level language planning and low-level robot execution, reducing the gap between w…
3 days, 14 hours ago
Atlas's New Hands: Built to Learn, Not Just to Look Human
Atlas is upgraded with 13 DoF dexterous hands featuring tactile sensing, direct drive actuation, and sim-to-real RL training, designed for real tool …
3 days, 14 hours ago
Astra Gets a Body: What Zero-Shot Humanoid Control Actually Transfers
Astra demonstrates zero-shot open-ended pick-and-place on a physical humanoid robot, bridging simulation tooling directly to real-world execution wit…
4 days, 14 hours ago
Physical Coding: Robots That Check Their Work—and Keep the Fixes
A new paper introduces self-evolving coding agents for robotics that represent task state and execution as code, enabling robots to verify, recover f…
5 days, 14 hours ago