clear-nus Goto Github PK
Name: CLeAR
Type: Organization
Bio: Collaborative, Learning, and Adaptive Robots (CLeAR) Lab at NUS
Blog: clear-nus.github.io
Name: CLeAR
Type: Organization
Bio: Collaborative, Learning, and Adaptive Robots (CLeAR) Lab at NUS
Blog: clear-nus.github.io
Biotac low level drivers and ROS nodes catkinized from UPenn's Penn-haptics-bolt repository
Accompanying code of BO-IRL published in Neurips 2020
Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)
Catkin workspace with controllers for the Franka Emika Robot
Google Vision API demo
Correlated Ellipses dataset for measuring disentanglement when the factors of variation are correlated. See our paper "Hyperprior Induced Unsupervised Disentanglement of Latent Representations" (AAAI 2019)
Notebooks for CS5340: Uncertainty Modeling in AI at NUS
Pytorch implementation of DGflow (ICLR 2021).
Extended Sensing via Dynamic Tactile Sensors
GRaCE: Optimizing Grasps to Satisfy Ranked Criteria in Complex Scenarios
Supplementary material and code for Graspflow
Supplementary Material and Code for "Optimizing Grasps to Satisfy Ranked Criteria"
Supplementary Material for The Transfer of Human Trust in Robot Capabilities across Tasks (RSS 2018)
icub_grasp_dataset
Code for our paper "Embedding Symbolic Knowledge into Deep Networks" (NeurIPS, 2019)
Supplmentary material for paper "Large Language Models as Zero-Shot Human Models for Human-Robot Interaction"
Differentiable Deep Social Projection for AssistiveHuman-Robot Communication (RSS 2022)
MR-POMDP example problems
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning
PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".
Code for research on observed adversary
Pytorch implementation of OCFGAN-GP (CVPR 2020, Oral).
experiment setup for Online Echo State Gaussian Process
Pytorch implementation of RED-SDS (NeurIPS 2021).
Robotiq packages (http://wiki.ros.org/robotiq)
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.