Chirikjian Lab's repositories
Marching-Primitives
[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function
ravens_visual_foresight
[IROS 2022] Transporters with Visual Foresight (TVF)
cfc-collision
[RA-L/IROS2022] Collision detection for general convex smooth bodies using closed-form contact space (CFC)
cfc-collision-matlab
Collision detection between convex and smooth bodies using closed-form contact space parameterization, MATLAB implementation.
primp-python
[T-RO] Python implementation of PRobabilistically-Informed Motion Primitives (PRIMP)
deformable_ravens_vf
Goal-Conditioned Transporter Networks (GCTN) for the multi-modal action proposal module of Transporters with Visual Foresight (TVF)
primp-matlab
[T-RO] MATLAB implementation of PRobabilistically-Informed Motion Primitives (PRIMP), a learning-from-demonstration method on Lie group.
cfc_collision_ros
ROS package for motion planning application using the collision detection framework based on closed-form contact space.
Igethangofit
This webpage is for the robotic hanging paper that submitted to RAL.
panda_moveit_ctrl
Control Panda robot with MoveIt
VolumePreservingModel
Model Reduction in Soft Robotics Using Locally Volume-Preserving Primitives
chairimagination
Project page for "Is That a Chair? Imagining Affordances Using Simulations of an Articulated Human Body" (ICRA 2020)
container-imagination-only
This repo only contains the code for container imagination. Suitable for users who want to try only the imagination part without doing robot experiments. Updated dependencies. Works for Python 3.
primp-page
Webpage for PRIMP: PRobabilistically-Informed Motion Primitives.
G2RL-LM
Goal-Guided Reinforcement Learning: Leveraging Large Language Models for Long-Horizon Task Decomposition
hrm-planning-page
Project page for "Efficient Path Planning in Narrow Passages for Robots with Ellipsoidal Components".
preparechair
project page for Prepare Chair for the Bear
rail-page
This is the page for the project The Curious Robot: Generalized Affordance Reasoning with Physics-Based and LLM-Enhanced Imagination