RoboPapers

Ep#111: SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning

Ep#110: ENPIRE: Agentic Robot PolicySelf-Improvement in the Real World

The ENPIRE project introduces a framework for agentic robot policy self-improvement in real-world environments, addressing the bottleneck of human intervention in robotics research. By decomposing the system into modules for resetting, reward function generation, and policy optimization, the approach allows coding agen...

Ep#109: Enigma - Connecting 100 Robots To The Internet

Ep#108: VLS: Steering Pretrained Robot Policies via Vision–Language Models

Ep#107: Do As I Do: Dexterous Manipulation Data from Everyday Human Videos

"DO AS I DO" addresses the challenge of training robots for dexterous manipulation using large-scale internet video data. The proposed pipeline reconstructs 3D hand-object interactions from monocular videos, then retargets these motions onto robot hands within a physics simulator. This approach bypasses the need for ma...

Ep#106: Flex-π: A Multi-Stream World-Action Model with Compute Flexibility

Ep#105: Beyond Imitation: Self-Improving Robot Policies via Off-Policy Q-Planning

"Beyond Imitation: Self-Improving Robot Policies via Off-Policy Q-Planning" addresses the performance ceiling in behavior cloning by introducing a recursive self-improvement loop. Authors Varun Giridhar and Animesh Garg explain how a learned Q-function acts as a critic, ranking action chunks generated by a frozen behav...

Ep#104: Light-Loco-Parkour: Versatile Perceptive Whole-Body Locomotion via Multi-Skill Distillation

Ep#103: Freeform Preference Learning for Robotic Manipulation

Ep#102: EgoSuite-Open100K from Lightwheel

Ep#101: Coupled Local and Global World Models for Efficient First Order RL

Ep#100: 100 Episodes of Embodied AI

Ep#99: DYNA-2: A 1 Million Hour Scaling Law for World-Action Models

Ep#97: Cross-Embodiment Robot Manipulation via a Unified Hand Action Space

Ep#96: EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration

Ep#95: Action-to-Action Flow Matching

Ep#94: Learning a Thousand Tasks in a Day

Ep#93: CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy

Ep#92: Human Universal Grasping

Ep#91: RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies