Research Analyzer

ICRA 2023

1655 papers · 0 AI summaries · 2023

Clear
814 result(s) for “Deep Learning Methods” Page 7 of 17
Title & Authors Actions
Bidirectional Sim-To-Real Transfer for GelSight Tactile Sensors with CycleGAN
Weihang Chen, YUAN XU, Zhenyang Chen, Peiyu Zeng, Renjun Dang, Rui Chen, Jing Xu
 View PDF
Few-Shot Instance Grasping of Novel Objects in Clutter
Weikun Guo, Wei Li, Ziye Hu, Zhongxue Gan
 View PDF
Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots
John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone
 View PDF
Neural Optimal Control Using Learned System Dynamics
Kazim Selim Engin, Volkan Isler
 View PDF
Knowledge Distillation for Feature Extraction in Underwater VSLAM
Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu
 View PDF
One Training for Multiple Deployments: Polar-Based Adaptive BEV Perception for Autonomous Driving
Huitong Yang, Xuyang BAI, Xinge Zhu, Yuexin Ma
 View PDF
Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Driggs-Campbell
 View PDF
TransVisDrone: Spatio-Temporal Transformer for Vision-Based Drone-To-Drone Detection in Aerial Videos
Tushar Bharat Sangam, Ishan Rajendrakumar Dave, Waqas Sultani, Mubarak Shah
 View PDF
Keypoint-GraspNet: Keypoint-Based 6-DoF Grasp Generation from the Monocular RGB-D Input
Yiye Chen, Yunzhi Lin, Ruinian Xu, Patricio Vela
 View PDF
TransRSS: Transformer-Based Radar Semantic Segmentation
Hao Zou, Harry Xie, Jiarong Ou, Gao Yutao
 View PDF
Causal Inference for De-Biasing Motion Estimation from Robotic Observational Data
Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu
 View PDF
Real-Time Event Simulation with Frame-Based Cameras
Andreas Ziegler, Daniel Teigland, Jonas Tebbe, Thomas Gossard, Andreas Zell
 View PDF
Bidirectional Generalised Rigid Point Set Registration
Ang Zhang, Zhe Min, Li Liu, Max Q.-H. Meng
 View PDF
Guided Reinforcement Learning � A Review and Evaluation for Efficient and Effective Real-World Robotics
Julian Eßer, Nicolas Bach, Christian Jestel, Oliver Urbann, Sören Kerner
 View PDF
Safeguarding Learning-Based Planners under Motion and Sensing Uncertainties Using Reachability Analysis
Akshay Shetty, Adam Dai, Alexandros Tzikas, Grace Gao
 View PDF
Sample-Driven Connectivity Learning for Motion Planning
Sihui Li, Neil Dantam
 View PDF
SEIL: Simulation-augmented Equivariant Imitation Learning
Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
 View PDF
Continual Adaptation of Semantic Segmentation Using Complementary 2D-3D Data Representations
Jonas Frey, Hermann Blum, Francesco Milano, Roland Siegwart, Cesar Cadena Lerma
 View PDF
Force Control for Robust Quadruped Locomotion: A Linear Policy Approach
Aditya Shirwatkar, Vamshi Kumar Kurva, Devaraju Vinoda, Aman Singh, Aditya Varma Sagi, Himanshu Lodha, Bhavya Giri Goswami, Shivam Sood, Ketan Nehete, Shishir Kolathaya
 View PDF
Guiding Reinforcement Learning with Shared Control Templates
Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp
 View PDF
Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abhish Khanal, Gregory Stein
 View PDF
Agile and Versatile Robot Locomotion Via Kernel-Based Residual Learning
Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li
 View PDF
Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype Via Terrain Authoring and Active Learning
Chong Zhang, Lizhi Yang
 View PDF
Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks
Zhenyu Lu, Ning Wang
 View PDF
Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
Se Hwan Jeon, Steve Heim, Charles Khazoom, Sangbae Kim
 View PDF
Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks
David Patricio Valencia Redrovan, John Jia, Raymond Li, Alex Hayashi, Megan Lecchi, Reuel Terezakis, Trevor Gee, Minas Liarokapis, Bruce MacDonald, Henry Williams
 View PDF
Dynamical System-Based Imitation Learning for Visual Servoing Using the Large Projection Formulation
Antonio Paolillo, Paolo Robuffo Giordano, Matteo Saveriano
 View PDF
Demonstration-Bootstrapped Autonomous Practicing Via Multi-Task Reinforcement Learning
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman
 View PDF
Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments
Mingyo Seo, Ryan Gupta, Yifeng Zhu, Alexy Skoutnev, Luis Sentis, Yuke Zhu
 View PDF
Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection
Darren Tsai, Julie Stephany Berrio Perez, Mao Shan, Eduardo Nebot, Stewart Worrall
 View PDF
Reinforcement Learning-Based Optimal Multiple Waypoint Navigation
Christos Vlachos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
 View PDF
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments
Arec Jamgochian, Etienne Buehrle, Johannes Fischer, Mykel Kochenderfer
 View PDF
Learning Generalizable Pivoting Skills
Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres
 View PDF
Model Learning with Backlash Compensation for a Tendon-Driven Surgical Robot
Francesco Cursi, Weibang Bai, Eric Yeatman, Petar Kormushev
 View PDF
Show Me What You Want: Inverse Reinforcement Learning to Automatically Design Robot Swarms by Demonstration
Ilyes Gharbi, Jonas Kuckling, David Garzón Ramos, Mauro Birattari
 View PDF
Security-Aware Reinforcement Learning under Linear Temporal Logic Specifications
Bohan Cui, Keyi Zhu, Shaoyuan Li, Xiang Yin
 View PDF
SEER: Safe Efficient Exploration for Aerial Robots Using Learning to Predict Information Gain
Yuezhan Tao, Yuwei Wu, Beiming Li, Fernando Cladera Ojeda, Alex Zhou, Dinesh Thakur, Vijay Kumar
 View PDF
Developing Cooperative Policies for Multi-Stage Reinforcement Learning Tasks
Jordan Erskine, Christopher Lehnert
 View PDF
LEMURS: Learning Distributed Multi-Robot Interactions
Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagues
 View PDF
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka
 View PDF
Learning Visual-Audio Representations for Voice-Controlled Robots
Peixin Chang, Shuijing Liu, D. Livingston McPherson, Katherine Driggs-Campbell
 View PDF
Learning-Based Initialization of Trajectory Optimization for Path-Following Problems of Redundant Manipulators
Minsung Yoon, Mincheul Kang, Daehyung Park, Sung-eui Yoon
 View PDF
Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde, Gaurav Sukhatme
 View PDF
Scalable Task-Driven Robotic Swarm Control Via Collision Avoidance and Learning Mean-Field Control
Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl
 View PDF
COLA: COarse LAbel Pre-Training for 3D Semantic Segmentation of Sparse LiDAR Datasets
Jules Sanchez, François GOULETTE, Jean-Emmanuel Deschaud
 View PDF
Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems
Alexander Ororbia, Ankur Mali
 View PDF
Multifingered Grasping Based on Multimodal Reinforcement Learning
Hongzhuo Liang, Lin Cong, Norman Hendrich, Shuang Li, Fuchun Sun, Jianwei Zhang
 View PDF
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Cheng Liu, Erik-Jan van Kampen, Guido de Croon
 View PDF
Self-Supervised Point Cloud Understanding Via Mask Transformer and Contrastive Learning
DI WANG, Zhi-Xin Yang
 View PDF
Experimental Validation of Functional Iterative Learning Control on a One-Link Flexible Arm
Sjoerd Drost, Pietro Pustina, Franco Angelini, Alessandro De Luca, Gerwin Smit, Cosimo Della Santina
 View PDF