Podcast Episodes
Back to SearchHUG: Turning Everyday Human Grasps Into a Robot-Ready Prior
Collects 1M frames (27.8 hours) of egocentric human grasping video and trains a flow-matching model to predict and retarget hand poses to robots. Ach…
2 months ago
SkillPlug: Teaching Robot Policies to Reuse the Moves Between Tasks
SkillPlug: Unsupervised Skill Mining for Few-Shot Adaptation in Robotic Manipulation
2 months ago
Expand Before You Compress: TEAM-VLA's Training-Free Shortcut to Faster Robot Policies
Token Expand-Merge: Training-Free Token Compression for Vision-Language-Action Models
2 months ago
One Policy, Three Bodies, Zero Messages: Inside CHORUS
Trains a single VLA policy that enables multiple heterogeneous robots to collaborate on complex manipulation tasks using only local observations and …
2 months ago
Anchor the Semantics, Align the Actions: A Better Way to Fine-Tune VLAs
Proposes a VLA fine-tuning technique that preserves pretrained VLM representations while aligning language to actions, raising real-robot generalizat…
2 months ago
Learning the Rule, Not the Gait: Stick-Insect Behavior as a Portable Robot Objective
Insect locomotion exhibits remarkable adaptability and flexibility despite the limited scale of its nervous system. However, the underlying principle…
2 months, 1 week ago
Two Brains Under Pressure: How UnderwaterVLA Connects Language Models to AUV Control
The UnderwaterVLA dual-brain vision-language-action architecture enables robust autonomous underwater navigation
2 months, 1 week ago
From Demo to Duty: RL-100's Real-World Reinforcement Learning Flywheel
Real-world robotic manipulation in homes and factories demands reliability, efficiency, and robustness that approach or surpass skilled human operato…
2 months, 1 week ago
Distilling a Swarm into 158 Million Parameters: Inside MiniUAV-VLA
Coordinating multiple unmanned aerial vehicles (UAVs) for cooperative missions requires agents that perceive their environment, reason about objectiv…
2 months, 1 week ago
Imagining Locomotion: Learning a Neural World Model for Legged Robots
A neural dynamics world model paired with model-free RL policies for quadruped and humanoid locomotion in IsaacLab, enabling long-horizon autoregress…
2 months, 1 week ago