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RSS 2022

74 papers

Sample Efficient Grasp Learning Using Equivariant Models

Xupeng Zhu, Dian Wang, Ondrej Biza, Guanang Su, Robin Walters

Action Conditioned Tactile Prediction: case study on slip prediction

Willow Mandil, Kiyanoush Nazari, Amir Ghalamzan

Learning Interpretable, High-Performing Policies for Autonomous Driving

Rohan Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi

FuseBot: RF-Visual Mechanical Search

Tara Boroushaki, Laura Dodds, Nazish Naeem, Fadel Adib

End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control

Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj

Correcting Robot Plans with Natural Language Feedback

Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans

Invariance Through Latent Alignment

Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie

Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets

Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis

Conflict-Based Steiner Search for Multi-Agent Combinatorial Path Finding

Zhongqiang Ren, Sivakumar Rathinam, Howie Choset

Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM

Marcus A Pereira, Augustinos D Saravanos, Oswin So, Evangelos A. Theodorou

FaDIV-Syn: Fast Depth-Independent View Synthesis using Soft Masks and Implicit Blending

Andre Rochow, Max Schwarz, Michael Weinmann, Sven Behnke

Multi-Robot Adversarial Resilience using Control Barrier Functions

Matthew Cavorsi, Beatrice Capelli, Lorenzo Sabattini, Stephanie Gil

A Local Optimization Framework for Multi-Objective Ergodic Search

Zhongqiang Ren, Akshaya Kesarimangalam Srinivasan, Howard Coffin, Ian Abraham, Howie Choset

Learning Mixed Strategies in Trajectory Games

Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora

TNS: Terrain Traversability Mapping and Navigation System for Autonomous Excavators

Tianrui Guan, Zhenpeng He, Ruitao Song, Dinesh Manocha, Liangjun Zhang

AK: Attentive Kernel for Information Gathering

Weizhe Chen, Roni Khardon, Lantao Liu

Parameterized Differential Dynamic Programming

Alex Oshin, Matthew D Houghton, Michael J. Acheson, Irene M. Gregory, Evangelos Theodorou

DiPCAN: Distilling Privileged Information for Crowd-Aware Navigation

Gianluca Monaci, Michel Aractingi, Tomi Silander

Failure Prediction with Statistical Guarantees for Vision-Based Robot Control

Alec Farid, David Snyder, Allen Z. Ren, Anirudha Majumdar

SymForce: Symbolic Computation and Code Generation for Robotics

Hayk Martiros, Aaron Miller, Nathan Bucki, Bradley Solliday, Ryan Kennedy

PROX-QP: Yet another Quadratic Programming Solver for Robotics and beyond

Antoine Bambade, Sarah El-Kazdadi, Adrien Taylor, Justin Carpentier

Collision Detection Accelerated: An Optimization Perspective

Louis Montaut, Quentin Le Lidec, Vladimír Petrík, Josef Sivic, Justin Carpentier

Collocation Methods for Second Order Systems

Siro Moreno-Martin, Lluis Ros, Enric Celaya

Factory: Fast Contact for Robotic Assembly

Yashraj Narang, Kier Storey, Iretiayo Akinola, Miles Macklin, Philipp Reist

Autonomously Untangling Long Cables

Vainavi Viswanath, Kaushik Shivakumar, Justin Kerr, Brijen Thananjeyan, Ellen Novoseller

Embodied Multi-Agent Task Planning from Ambiguous Instruction

Xinzhu Liu, Xinghang Li, Di Guo, Sinan Tan, Huaping Liu

Data Augmentation for Manipulation

Peter Mitrano, Dmitry Berenson

Human-to-Robot Imitation in the Wild

Shikhar Bahl, Abhinav Gupta, Deepak Pathak

Rapid Locomotion via Reinforcement Learning

Gabriel B. Margolis, Ge Yang, Kartik Paigwar, Tao Chen, Pulkit Agrawal

DextAIRity: Deformable Manipulation Can be a Breeze

Zhenjia Xu, Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng

Iterative Residual Policy for Goal-Conditioned Dynamic Manipulation of Deformable Objects

Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song

DICP: Doppler Iterative Closest Point Algorithm

Bruno Hexsel, Heethesh Vhavle, Yi Chen

PropEM-L: Radio Propagation Environment Modeling and Learning for Communication-Aware Multi-Robot Exploration

Lillian Clark, Jeffrey Edlund, Marc Sanchez Net, Tiago Stegun Vaquero, Ali-akbar Agha-mohammadi

POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes

Jingxing Qian, Veronica Chatrath, Jun Yang, James Servos, Angela P. Schoellig

iSDF: Real-Time Neural Signed Distance Fields for Robot Perception

Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotny

The Surprising Effectiveness of Representation Learning for Visual Imitation

Jyothish Pari, Nur Muhammad (Mahi) Shafiullah, Sridhar Pandian Arunachalam, Lerrel Pinto

RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks

Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu

Equivariant Transporter Network

Haojie Huang, Dian Wang, Robin Walters, Robert Platt

CURL: Continuous, Ultra-compact Representation for LiDAR

Kaicheng Zhang, Ziyang Hong, Shida Xu, Sen Wang

Resilient Multi-Sensor Exploration of Multifarious Environments with a Team of Aerial Robots

Graeme Best, Rohit Garg, John Keller, Geoffrey A. Hollinger, Sebastian Scherer

KernelGPA: A Deformable SLAM Back-end

Fang Bai, Adrien Bartoli

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation

Bokui Shen, Zhenyu Jiang, Christopher Choy, Silvio Savarese, Leonidas J. Guibas