IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

603 result(s) for “Incremental Learning” Page 4 of 13

	Title & Authors	Actions
	D3G: Learning Multi-Robot Coordination from Demonstrations Yizhi Zhou, WANXIN JIN, Xuan Wang	View PDF
Loading…
	Social Navigation in Crowded Environments with Model Predictive Control and Deep Learning-Based Human Trajectory Prediction Viet-Anh Le, Behdad Chalaki, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Jovin D'sa, Ehsan Moradi-Pari	View PDF
Loading…
	Scheduling of Robotic Cellular Manufacturing Systems with Timed Petri Nets and Reinforcement Learning ZhuTao Yao, Bo Huang, Jianyong Lv, Xiaoyu Lu, MeiJi Cui, ShaoHua Yu	View PDF
Loading…
	Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots Shamil Mamedov, Rudolf Reiter, Seyed Mahdi Basiri Azad, Ruan Matthys Viljoen, Joschka Boedecker, Moritz Diehl, Jan Swevers	View PDF
Loading…
	PA-LOCO: Learning Perturbation-Adaptive Locomotion for Quadruped Robots Zhiyuan Xiao, Xinyu Zhang, Xiang Zhou, Qingrui Zhang	View PDF
Loading…
	Learning Fine Pinch-Grasp Skills Using Tactile Sensing from a Few Real-World Demonstrations Xiaofeng Mao, Yucheng Xu, Ruoshi Wen, Mohammadreza Kasaei, Wanming Yu, Efi Psomopoulou, Nathan Lepora, Zhibin (Alex) Li	View PDF
Loading…
	Unsupervised Multiple Proactive Behavior Learning of Mobile Robots for Smooth and Safe Navigation Arthicha Srisuchinnawong, Jonas Baech, Marek Piotr Hyzy, Tsampikos Kounalakis, Evangelos Boukas, Poramate Manoonpong	View PDF
Loading…
	AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering Via Denoising Autoencoder and Joint Learning Michael Villarreal, Bibek Poudel, Ryan Wickman, Yu Shen, Weizi Li	View PDF
Loading…
	Visual Imitation Learning of Task-Oriented Object Grasping and Rearrangement Yichen Cai, Jianfeng Gao, Christoph Pohl, Tamim Asfour	View PDF
Loading…
	Latent Object Characteristics Recognition with Visual to Haptic-Audio Cross-Modal Transfer Learning Namiko Saito, Joao Moura, Hiroki Uchida, Sethu Vijayakumar	View PDF
Loading…
	HeteroLight: A General and Efficient Learning Approach for Heterogeneous Traffic Signal Control YIFENG ZHANG, Peizhuo LI, Mingfeng Fan, Guillaume Adrien Sartoretti	View PDF
Loading…
	Automatic Design of Robot Swarms That Perform Composite Missions: An Approach Based on Inverse Reinforcement Learning Jeanne Szpirer, David Garzón Ramos, Mauro Birattari	View PDF
Loading…
	Bird's-Eye-View Trajectory Planning of Multiple Robots using Continuous Deep Reinforcement Learning and Model Predictive Control Kristian Ceder, Ze Zhang, Adam Burman, Ilya Kuangaliyev, Krister Mattsson, Gabriel Nyman, Arvid Petersén, Lukas Wisell, Knut Akesson	View PDF
Loading…
	An Attention-Aware Deep Reinforcement Learning Framework for UAV-UGV Collaborative Route Planning Mohammad Safwan Mondal, Subramanian Ramasamy, James Humann, Jim James, Dotterweich, Jean-Paul Reddinger, Marshal Childers, Pranav Bhounsule	View PDF
Loading…
	Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning Suzan Ece Ada, Erhan Oztop, Emre Ugur	View PDF
Loading…
	Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning Suzan Ece Ada, Erhan Oztop, Emre Ugur	View PDF
Loading…
	Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks Pu Feng, Junkang Liang, Size Wang, Xin Yu, Xin Ji, Yiting Chen, kui zhang, Rongye Shi, Wenjun Wu	View PDF
Loading…
	Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang	View PDF
Loading…
	Learning Generalizable Manipulation Policy with Adapter-Based Parameter Fine-Tuning Kai Lu, Kim Tien Ly, William Hebberd, kaichen zhou, Ioannis Havoutis, Andrew Markham	View PDF
Loading…
	Mitigating Adversarial Perturbations for Deep Reinforcement Learning Via Vector Quantization Tung Luu, Thanh Nguyen, Joshua Tian Jin Tee, Sungwoong Kim, Chang D. Yoo	View PDF
Loading…
	Self Supervised Detection of Incorrect Human Demonstrations: A Path Toward Safe Imitation Learning by Robots in the Wild Noushad Sojib, Momotaz Begum	View PDF
Loading…
	A Hybrid Model and Learning-Based Force Estimation Framework for Surgical Robots Hao Yang, Haoying Zhou, Gregory Scott Fischer, Jie Ying Wu	View PDF
Loading…
	Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations Puhao Li, Tengyu Liu, Yuyang Li, Muzhi Han, Haoran Geng, Shu Wang, Yixin Zhu, Song-Chun Zhu, Siyuan Huang	View PDF
Loading…
	Mini-PointNetPlus: A Local Feature Descriptor in Deep Learning Model for Real-Time 3D Environment Perception Chuanyu Luo, Nuo Cheng, Sikun Ma, Jun Xiang, Xiaohan Li, Shengguang Lei, Pu Li	View PDF
Loading…
	A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables Nozawa, Itta,Kamienski, Emily,O'Neill, Cormac,Asada, Harry	View PDF
Loading…
	Local Path Planning among Pushable Objects Based on Reinforcement Learning Linghong Yao, Valerio Modugno, Andromachi Maria Delfaki, Yuanchang Liu, Danail Stoyanov, Dimitrios Kanoulas	View PDF
Loading…
	Learning from Demonstration Framework for Multi-Robot Systems Using Interaction Keypoints and Soft Actor-Critic Methods L.N Vishnunandan Venkatesh, Byung-Cheol Min	View PDF
Loading…
	Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections Zengqi Peng, Xiao Zhou, Lei Zheng, Yubin Wang, Jun Ma	View PDF
Loading…
	Learning Symbolic and Subsymbolic Temporal Task Constraints from Bimanual Human Demonstrations Christian R. G. Dreher, Tamim Asfour	View PDF
Loading…
	Waypoint-Based Reinforcement Learning for Robot Manipulation Tasks Shaunak Mehta, Soheil Habibian, Dylan Losey	View PDF
Loading…
	Learning Dynamic Tasks on a Large-Scale Soft Robot in a Handful of Trials Sicelukwanda Njabuliso Tunner Zwane, Daniel G. Cheney, Curtis C Johnson, Yicheng Luo, Yasemin Bekiroglu, Marc Killpack, Marc Peter Deisenroth	View PDF
Loading…
	IMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning Yifan Guo, Zhongqiang Ren, Chen Wang	View PDF
Loading…
	Pseudo-Rigid Body Networks: Learning Interpretable Deformable Object Dynamics from Partial Observations Shamil Mamedov, Andreas René Geist, Jan Swevers, Sebastian Trimpe	View PDF
Loading…
	Learning Visual Quadrupedal Loco-Manipulation from Demonstrations Zhengmao He, Kun Lei, Yanjie Ze, Koushil Sreenath, Zhongyu Li, Huazhe Xu	View PDF
Loading…
	Learning to Walk and Fly with Adversarial Motion Priors Giuseppe L'Erario, Drew Hanover, Angel Romero, Yunlong Song, Gabriele Nava, Paolo Maria Viceconte, Daniele Pucci, Davide Scaramuzza	View PDF
Loading…
	Learning Adaptive Controller for Hydraulic Machinery Automation Fang Nan, Marco Hutter	View PDF
Loading…
	Learning Locomotion for Quadruped Robots Via Distributional Ensemble Actor-Critic Sicen Li, YiMing Pang, Panju Bai, Jiawei Li, Zhaojin Liu, Shihao Hu, Li-Quan Wang, Gang Wang	View PDF
Loading…
	Learning Multi-Reference Frame Skills from Demonstration with Task-Parameterized Gaussian Processes Mariano Ramirez Montero, Giovanni Franzese, Jens Kober, Cosimo Della Santina	View PDF
Loading…
	RelationGrasp: Object-Oriented Prompt Learning for Simultaneously Grasp Detection and Manipulation Relationship in Open Vocabulary Songting Liu, Tat Joo Teo, Zhiping Lin, Haiyue Zhu	View PDF
Loading…
	Fine Manipulation Using a Tactile Skin: Learning in Simulation and Sim-To-Real Transfer Berthold Bäuml, Ulf Kasolowsky	View PDF
Loading…
	VTTB: A Visuo-Tactile Learning Approach for Robot-Assisted Bed Bathing Yijun Gu, Yiannis Demiris	View PDF
Loading…
	GDM-Net: Gas Distribution Mapping with a Mobile Robot Using Deep Reinforcement Learning and Gaussian Process Regression Iliya Kulbaka, Ayan Dutta, Patrick Kreidl, Ladislau Bölöni, Swapnoneel Roy	View PDF
Loading…
	On Learning Scene-Aware Generative State Abstractions for Task-Level Mobile Manipulation Planning Julian Förster, Jen Jen Chung, Lionel Ott, Roland Siegwart	View PDF
Loading…
	Robust Imitation Learning for Mobile Manipulator Focusing on Task-Related Viewpoints and Regions Yutaro Ishida, Yuki Noguchi, Takayuki Kanai, Kazuhiro Shintani, Hiroshi Bito	View PDF
Loading…
	Car-Studio: Learning Car Radiance Fields from Single-View and Unlimited In-The-Wild Images Tianyu Liu, Hao Zhao, Yang Yu, Guyue Zhou, Ming Liu	View PDF
Loading…
	Real-Time Dexterous Telemanipulation with an End-Effect-Oriented Learning-Based Approach Haoyang Wang, HE BAI, Xiaoli Zhang, Yunsik Jung, Michael Bowman, Lingfeng Tao	View PDF
Loading…
	Synergistic Reinforcement and Imitation Learning for Vision-Driven Autonomous Flight of UAV Along River Zihan Wang, Jianwen Li, Nina Mahmoudian	View PDF
Loading…
	Robot Generating Data for Learning Generalizable Visual Robotic Manipulation Yunfei Li, Ying Yuan, Jingzhi Cui, Haoran Huan, Wei Fu, Jiaxuan Gao, Zekai Xu, Yi Wu	View PDF
Loading…
	Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning Ce Hao, Catherine Weaver, CHEN TANG, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan	View PDF
Loading…
	TraKDis: A Transformer-Based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation Wei Chen, Nicolas Rojas	View PDF
Loading…