Robot Manipulation

48 papers with code • 0 benchmarks • 1 datasets

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Most implemented papers

What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data

mees/hulc 13 Apr 2022

We have open-sourced our implementation to facilitate future research in learning to perform many complex manipulation skills in a row specified with natural language.

DeepIM: Deep Iterative Matching for 6D Pose Estimation

liyi14/mx-DeepIM ECCV 2018

Estimating the 6D pose of objects from images is an important problem in various applications such as robot manipulation and virtual reality.

SilhoNet: An RGB Method for 6D Object Pose Estimation

gidobot/SilhoNet 18 Sep 2018

Autonomous robot manipulation involves estimating the translation and orientation of the object to be manipulated as a 6-degree-of-freedom (6D) pose.

Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations

WMGDataScience/gym_wmgds 16 Oct 2019

In order to exploit this idea, we introduce a framework whereby an object locomotion policy is initially obtained using a realistic physics simulator.

Learning 3D Dynamic Scene Representations for Robot Manipulation

columbia-robovision/dsr 3 Nov 2020

3D scene representation for robot manipulation should capture three key object properties: permanency -- objects that become occluded over time continue to exist; amodal completeness -- objects have 3D occupancy, even if only partial observations are available; spatiotemporal continuity -- the movement of each object is continuous over space and time.

Mobile Robot Manipulation using Pure Object Detection

griffbr/tfod 28 Jan 2022

We develop an end-to-end manipulation method based solely on detection and introduce Task-focused Few-shot Object Detection (TFOD) to learn new objects and settings.

VIMA: General Robot Manipulation with Multimodal Prompts

vimalabs/VIMABench 6 Oct 2022

This work shows that we can express a wide spectrum of robot manipulation tasks with multimodal prompts, interleaving textual and visual tokens.

Solving the robot-world hand-eye(s) calibration problem with iterative methods

amy-tabb/RWHEC-Tabb-AhmadYousef 2 May 2017

Robot-world, hand-eye calibration is the problem of determining the transformation between the robot end-effector and a camera, as well as the transformation between the robot base and the world coordinate system.

Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task

stepjam/PyRep 7 Jul 2017

End-to-end control for robot manipulation and grasping is emerging as an attractive alternative to traditional pipelined approaches.

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks

StanfordVL/arxivbot 4 Oct 2017

In this work, we propose a novel robot learning framework called Neural Task Programming (NTP), which bridges the idea of few-shot learning from demonstration and neural program induction.