EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models Paper • 2505.09694 • Published May 14 • 18
EnerVerse-AC: Envisioning Embodied Environments with Action Condition Paper • 2505.09723 • Published May 14 • 22
EnerVerse-AC: Envisioning Embodied Environments with Action Condition Paper • 2505.09723 • Published May 14 • 22
EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models Paper • 2505.09694 • Published May 14 • 18
AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems Paper • 2503.06669 • Published Mar 9 • 1
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions Paper • 2505.06111 • Published May 9 • 24
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions Paper • 2505.06111 • Published May 9 • 24
Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning Paper • 2503.11646 • Published Mar 14 • 36
Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning Paper • 2503.11646 • Published Mar 14 • 36
EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation Paper • 2501.01895 • Published Jan 3 • 56
EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation Paper • 2501.01895 • Published Jan 3 • 56
internlm/internlm-xcomposer2-vl-7b Visual Question Answering • Updated Apr 12, 2024 • 1.49k • 82