Name: Robotics & Embodied Artificial Intelligence Lab (REAL)
Type: Organization
Bio: We develop algorithms that enable intelligent systems to learn from their interactions with the physical world to execute complex tasks and assist people
Location: United States of America
Blog: https://real.stanford.edu/
Robotics & Embodied Artificial Intelligence Lab (REAL)'s Projects
[ICRA 2021] AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy
[NeurIPS 2022] ASPiRe: Adaptive Skill Priors for Reinforcement Learning
[CoRL 2022] BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment
[ICRA 2023] This repository contains code for training and evaluating Cloth Funnels in simulation for Ubuntu 18.04.
[CVPR 2023] CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
[RSS 2022, Best System Paper Finalist] DextAIRity: Deformable Manipulation Can be a Breeze
Dynamics-Guided Diffusion Model for Robot Manipulator Design
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
[CoRL 2020] Learning 3D Dynamic Scene Representations for Robot Manipulation
[CoRL 2020] Fit2Form: 3D Generative Model for Robot Gripper Form Design
[CoRL 2021 Best System Paper] This repository contains code for training and evaluating FlingBot in both simulation and real-world settings on a dual-UR5 robot arm setup for Ubuntu 18.04
[ICCV 2021] GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion
[CoRL 2023] Rearrangement Planning for General Part Assembly
[RSS 2022 Best Paper, Best Student Paper Finalist] Iterative Residual Policy for Goal-Conditioned Dynamic Manipulation of Deformable Objects
Minimal code for controlling Schunk WSG grippers
Semantic Segmentation on the LaPa dataset using Pytorch Lightning
[CoRL 2023] REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction
[RSS 2023] RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects
[CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down
Scene Editing as Teleoperation: A Case Study in 6DoF Kit Assembly
[CoRL 2022] This repository contains code for generating relevancies, training, and evaluating Semantic Abstraction.
[ICRA 2021] SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation
[RA-L / ICRA 2022] UMPNet: Universal Manipulation Policy Network for Articulated Objects
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
[CoRL 2023] XSkill: cross embodiment skill discovery