Podcast Episodes
Back to SearchQwen-RobotManip: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
Presents alignment techniques to scale robotic manipulation foundation models, building on the Qwen model family for dexterous robot control.
3 months ago
ASPIRE: Automated Skill Discovery for Robotics
Introduces the first automated system that continuously discovers, evolves, and accumulates reusable sensorimotor skills via evolutionary search over…
3 months, 1 week ago
SERF: 4D Latent Mapping for Long-Horizon Mobile Manipulation
Embeds both the robot and environment into a shared 4D latent space augmented with forward-kinematics robot points, enabling a vision-language-action…
3 months, 1 week ago
ViserDex: Visual Sim-to-Real for Robust Dexterous In-Hand Reorientation
A single-camera sim-to-real framework that uses physically consistent 3D Gaussian Splatting augmentations to achieve zero-shot transfer of dexterous …
3 months, 1 week ago
DexSkin: A High-Coverage, Conformable "Electronic Skin" for Robot Fingers
Introduces a high-coverage, conformable robotic skin hardware system designed to improve data collection and policy learning for contact-rich, dexter…
3 months, 1 week ago
EBench: A Diagnostic Benchmark for Generalist Manipulation Policies
A CAT-scan style diagnostic benchmark for robot foundation models that evaluates policies such as π0, π0.5, and Qwen-RobotManip beyond single success…
3 months, 1 week ago
VITRA: A Foundation for Dexterous VLA via Human Video Pretraining
A scalable VLA pretraining pipeline that converts unstructured egocentric human videos into robot training data, trains a dexterous hand VLA, and fin…
3 months, 1 week ago
DexWM: A Dexterous Manipulation World Model from Human Videos
A dexterous manipulation world model pretrained on 829 hours of EgoDex human data and DROID robot data using conditioned diffusion transformers, enab…
3 months, 1 week ago
PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning
Introduces PoLAR, a method that factorizes latent action representations into extent and mode components to improve robot policy learning efficiency …
3 months, 1 week ago
Continual Robot Policy Learning via Variational Neural Dynamics
Proposes a variational neural dynamics framework for continual robot policy learning, enabling robots to acquire new skills without forgetting previo…
3 months, 1 week ago