Alternatives and similar repositories for peg-in-hole-gym:

Users that are interested in peg-in-hole-gym are comparing it to the libraries listed below

• xieliang555 / SFN
  Learning to Fill the Seam by Vision: Sub-millimeter Peg-in-hole on Unseen Shapes in Real World
  ☆33Updated last year
• xieliang555 / Tracer
  Learning Active Force-torque based Policy for Sub-mm Localization of Unseen Holes
  ☆14Updated last year
• choicelab / grasping-invisible
  Target-oriented robotic manipulations to grasp an initially invisible target
  ☆56Updated 2 years ago
• vikashplus / franka_sim
  Franka panda mujoco models
  ☆59Updated last month
• xukechun / Efficient_goal-oriented_push-grasping_synergy
  [RAL & IROS 2021] Efficient learning of goal-oriented push-grasping synergy in clutter
  ☆68Updated 3 years ago
• DengYuelin / vrep_peg_in_hole
  Needs update
  ☆18Updated 5 years ago
• liruiw / HCG
  Cluttered-Scene 6D Grasping with Latent Plans
  ☆16Updated 2 years ago
• sholtodouglas / ur5pybullet
  UR5 sim in pybullet, with control via xyz and ori of the head, or individual motor control.
  ☆16Updated 4 years ago
• cambel / robot-learning-cl-dr
  Accelerating Robot Learning of Contact-Rich Manipulations: A Curriculum Learning Study
  ☆15Updated 2 years ago
• arc-l / dipn
  Deep Interaction Prediction Network with Application to Clutter Removal
  ☆25Updated 3 years ago
• robot-learning-freiburg / kinematic-feasibility-rl
  Learning Kinematic Feasibility through Reinforcement Leanring: http://rl.uni-freiburg.de/research/kinematic-feasibility-rl
  ☆21Updated 4 years ago
• irom-princeton / pybullet-panda
  Custom Franka Panda environment in PyBullet
  ☆20Updated last year
• lyfkyle / pybullet_ompl
  Simple OMPL motion planning interface for Pybullet
  ☆97Updated 3 years ago
• jeongeun980906 / peg-in-hole
  ☆22Updated 4 years ago
• justagist / pybullet_robot
  A generic Python interface class for robot simulations using PyBullet. Also provides an IK interface for multi-end-effector robots that u…
  ☆30Updated 7 months ago
• rstrudel / rlbc
  [ICRA2020] Learning policies for robotic manipulation
  ☆50Updated 7 months ago
• UT-Austin-RPL / maple
  Official codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)
  ☆84Updated 2 years ago
• cypypccpy / Isaac-ManipulaRL
  Deep Reinforcement Learning Framework for Manipulator based on NVIDIA's Isaac-gym, Additional add SAC2019 and Reinforcement Learning from…
  ☆77Updated 2 years ago
• Kamalnl92 / Self-Supervised-Learning-for-pushing-and-grasping
  ☆22Updated 2 years ago
• cb614611757 / Kuka_Pybullet-for-pick-and-place
  # Kuka_Pybullet for pick and place This script can be used for the research of robotic reinforcement learning. The script builds a simul…
  ☆13Updated 6 years ago
• 0707yiliu / SoftBodyInsertion
  ☆11Updated last year
• jukindle / aslaug3d_simulation
  OpenAI Gym environment for RoyalPanda, a Clearpath Ridgeback base with a Franka Emika manipulator.
  ☆13Updated 4 years ago
• rvl-lab-utoronto / panda_robot
  Python3 ROS Interface with the Franka Emika Panda robot arm. Includes support for OpenAI Gym based interfaces.
  ☆30Updated 4 years ago
• robot0102 / rl-peg-in-hole-assembly-webots
  Efficiency, Stability and Generalization Analysis for Reinforcement Learning on Robotic Peg-in-hole Assembly
  ☆24Updated 5 years ago
• matafela / pybullet_grasp_annotator_robotiq_85
  control the position and orientation of a robotiq gripper, also the gripper opening angle
  ☆23Updated 6 years ago
• liruiw / GA-DDPG
  6-Dof Grasping Policy from Point Clouds
  ☆99Updated 2 years ago
• caelan / SS-Replan
  Online Replanning in Belief Space for Partially Observable Task and Motion Problems
  ☆64Updated 2 years ago
• JeanElsner / panda_mujoco
  MuJoCo model of the Franka Emika Robot System
  ☆55Updated last year
• CameronDevine / NetFT
  A Python library for reading data from ATI Force/Torque sensors with a Net F/T interface box.
  ☆23Updated 3 years ago
• real-stanford / adagrasp
  [ICRA 2021] AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy
  ☆57Updated 4 years ago