HKUST-RML

HKUST-RML's repositories

flexflip

The project demonstrates an advanced dynamic manipulation strategy by soft gripper called flex-and-flip. The technique is targeted at flexible, thin objects and applied to obtaining secure, pinch grasps on them.

Language:G-codeMIT16 4 2

dexterous_ungrasping

This package is an implementation of Dexterous Ungrasping, which refers to the task of securely transferring an object from the gripper to the environment through dexterous manipulation.

Language:PythonMIT1100

pickpack

A ROS package for autonomous thin objects picking, with UR10 robotic arm and Robotiq 2- or 3-Finger Adaptive gripper.

Language:Jupyter Notebook11 2 1

ddh_hardware

Direct-Drive Hand Hardware

7 20

dexterous_ungrasping_planner

A RRT*-based planner for Dexterous Ungrasping

Language:MATLABBSD-3-Clause5 10

Learning-to-Grasp-by-Digging

Language:PythonApache-2.0400

parrot_gripper

Parrot-inspired gripper for in-hand manipulation

Language:Jupyter Notebook200

dig-grasping

This package presents an autonomous system for singulating and picking thin profile objects, for example, Go stones and capsules, from dense clutter.

Language:Jupyter Notebook100

high_speed_scooping

High-speed scooping with Direct-Drive Hand

Language:Jupyter Notebook100

learn_rockwalk

Dynamic, Non-Prehensile, and Underactuated Object Locomotion through Reinforcement Learning

Language:CGPL-3.01 20

learned_scooping

Language:Python100

LearnFromInteraction

MIT1 2 1

Scooping-Manipulation

This package presents a novel dexterous robotic manipulation technique for picking thin objects called Scooping.

Language:Jupyter Notebook100

rockwalk

A method of dynamic object transport using robot(s)

Language:C030

automaton_parser

A parser is developed to search through the automaton generated from gr1c and control the real robot.

Language:PostScript000

autonomous_manipulation_planner

This is a novel framework, which is to autonomously generate a manipulation plan to accomplish various complex tasks requiring dexterity, without requiring an expert to manually design a control strategy for a particular task in an ad-hoc manner.

Language:Python000