[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

code implementation of GraspGPT and FoundationGrasp

Deep learning for grasp detection within MoveIt.

ROS 2 URDF description package for the Inspire Robotics RH56DFX 6-DOF dexterous hand. Supports left and right variants with mesh geometry, joint limits, RViz visualisation, and ros2_control integration.

SS19 Full Body Control Team: Generating motions and control for scooping ice cream, picking cups and handing it over to the customer

Development of an end-to-end robotic manipulation pipeline using ROS 2, Isaac Sim, and the Unitree G1 humanoid. The system performs semantic object detection, grasp prediction, collision-aware motion planning, and autonomous pick-and-place for supermarket shelf automation.

An interactive simulation desktop game for players to fight monsters, collect treasure, and progress through a maze of dungeon rooms

Industrial Grasp Quality Evaluation Framework for Magnetic Grippers — 6 physics-based evaluators, hard-constraint safety policy, multi-view 3D snapshots, production HTML reports

Type the name of any object. The system finds it, segments it, estimates its 3D pose, and outputs where a robot would grasp it. Zero training data required.

This project aims to dive into evaluating grasp planning approaches, primarily model-free approaches

Intrinsic is a Mountain View, California industrial robotics software company spun out of Alphabet's X "moonshot factory" and led by CEO Wendy Tan White. Its mission is to make industrial robots radically easier to program, use, and innovate with so that automation is accessible to a much broader range of businesses.