Superhuman Safe and Agile Racing through Multi-Agent Reinforcement Learning
A robotics research paper on Superhuman Safe and Agile Racing through Multi-Agent Reinforcement Learning.
Engineering 5.0 · Research 7.0 · Business 4.0
Browse curated robotics papers about humanoid robots, embodied AI, robot manipulation, VLA models, Diffusion Policy, Sim2Real and robot foundation models.
A robotics research paper on Superhuman Safe and Agile Racing through Multi-Agent Reinforcement Learning.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on Learning to Evolve: Multi-modal Interactive Fields for Robust Humanoid Navigation in Dynamic Environments.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on Imagine2Real: Towards Zero-shot Humanoid-Object Interaction via Video Generative Priors.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-based Humanoid Control.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on GesVLA: Gesture-Aware Vision-Language-Action Model Embedded Representations.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on Verified Task-Space Motion Planning Under Joint-Space Constraints.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on PIMbot: A Self-Adaptive Attack Framework for Adversarial Manipulation of Multi-Robot Reinforcement Learning.
Engineering 5.0 · Research 7.0 · Business 4.0
The core contribution is a framework for optimizing grasp-based locomotion in microgravity with multi-limbed robots.
Engineering 5.0 · Research 7.0 · Business 4.0
The core contribution is an adaptive coverage strategy that leverages real-time environmental feedback for multi-robot systems in unknown settings.
Engineering 5.0 · Research 7.0 · Business 4.0
The core contribution is a scalable framework for dynamic robot allocation in heterogeneous multi-team systems using an altruistic decision-making mechanism.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on Reinforcement Learning for Risk Adaptation via Differentiable CVaR Barrier Functions.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on Learning Robust Dexterous In-Hand Manipulation from Joint Sensors with Proprioceptive Transformer.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on roto 2.0: The Robot Tactile Olympiad.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on Closed-Loop Sim-to-Real Reinforcement Learning for Deformable Microfiber Shape Control.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on Humanoid Whole-Body Manipulation via Active Spatial Brain and Generalizable Action Cerebellum.
Engineering 5.0 · Research 7.0 · Business 4.0
A robotics research paper on To Select or not to Select, that is the Question: Distilling Robot Skill Prediction into a Small Ensemble.
Engineering 5.0 · Research 7.0 · Business 4.0