catgrasp
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural…
😎 A curated list of awesome mobile robots study resources based on ROS (including SLAM, odometry and navigation, manip…
InternVLA-A1: Unifying Understanding, Generation, and Action for Robotic Manipulation
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Actio…
Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, code…
[Embodied-AI-Survey-2025] Paper List and Resource Repository for Embodied AI
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