IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

763 result(s) for “Visual Learning” Page 8 of 16

	Title & Authors	Actions
	Learning Sampling Distribution and Safety Filter for Autonomous Driving with VQ-VAE and Differentiable Optimization Simon Idoko, basant sharma, Arun Kumar Singh	View PDF
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	An Actor-Critic Reinforcement Learning Scheme for Reactive 3D Optimal Motion Planning Based on Fluid Dynamics Marios Malliaropoulos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos	View PDF
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	Human-Robot Interaction Control for Multi-Mode Exosuit with Reinforcement Learning Kaizhen Huang, Jiajun XU, Tianyi Zhang, Mengcheng Zhao, Aihong Ji, Guoli Song, Y.F. Li	View PDF
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	Skill Q-Network: Learning Adaptive Skill Ensemble for Mapless Navigation in Unknown Environments Hyunki Seong, David Hyunchul Shim	View PDF
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	Multi-Modal Motion Prediction Using Temporal Ensembling with Learning-Based Aggregation Kai-Yin Hong, Chieh-Chih Wang, Wen-Chieh Lin	View PDF
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	Learning Agile Locomotion on Risky Terrains Chong Zhang, Nikita Rudin, David Hoeller, Marco Hutter	View PDF
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	Autonomous Storytelling for Social Robot with Human-Centered Reinforcement Learning Lei Zhang, Chuanxiong Zheng, Hui Wang, Randy Gomez, Eric Nichols, Guangliang Li	View PDF
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	Learning to Recover from Plan Execution Errors During Robot Manipulation: A Neuro-Symbolic Approach Namasivayam Kalithasan, Arnav Tuli, Vishal Bindal, Himanshu Gaurav Singh, Parag Singla, Rohan Paul	View PDF
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	Enhancing Reinforcement Learning in Sensor Fusion: A Comparative Analysis of Cubature and Sampling-Based Integration Methods for Rover Search Planning Jan-Hendrik Ewers, Sarah Swinton, Dave Anderson, Euan William McGookin, Douglas Thomson	View PDF
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	DecAP : Decaying Action Priors for Accelerated Imitation Learning of Torque-Based Legged Locomotion Policies Shivam Sood, GE SUN, Peizhuo LI, Guillaume Adrien Sartoretti	View PDF
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	Gradient-Based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning Yi Li, Hoang-Giang Cao, Cong-Tinh Dao, Yu-Cheng Chen, I-Chen Wu	View PDF
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	Safe Multi-Agent Reinforcement Learning for Bimanual Dexterous Manipulation Weishu Zhan, Peter Chin	View PDF
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	DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson	View PDF
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	Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving Lin, Haohong,Ding, Wenhao,Liu, Zuxin,Niu, Yaru,Zhu, Jiacheng,Niu, Yuming,Zhao, Ding	View PDF
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	ARCADE: Scalable Demonstration Collection and Generation Via Augmented Reality for Imitation Learning Yue Yang, Bryce Ikeda, Gedas Bertasius, Daniel J. Szafir	View PDF
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	Graph Neural Network-Based Multi-Agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems Anthony Goeckner, Yueyuan Sui, Nicolas Martinet, Xinliang Li, Qi Zhu	View PDF
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	Embodied AI with Two Arms: Zero-Shot Learning, Safety and Modularity Jacob Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani	View PDF
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	HyperTaxel: Hyper-Resolution for Taxel-Based Tactile Signals through Contrastive Learning Hongyu Li, Snehal Dikhale, Jinda Cui, Soshi Iba, Nawid Jamali	View PDF
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	Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning PRASANTH SENGADU SURESH, Siddarth Jain, Prashant Doshi, Diego Romeres	View PDF
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	Imitation Learning for Sim-To-Real Adaptation of Robotic Cutting Policies Based on Residual Gaussian Process Disturbance Force Model Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin	View PDF
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	Kosmos-E: Learning to Follow Instruction for Robotic Grasping Zhi Wang, Xun Wu, Xun Wu, Li Dong, Wang Wenhui, Shuming Ma, Furu Wei	View PDF
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	D3G: Learning Multi-Robot Coordination from Demonstrations Yizhi Zhou, WANXIN JIN, Xuan Wang	View PDF
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	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
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	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
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	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
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	PA-LOCO: Learning Perturbation-Adaptive Locomotion for Quadruped Robots Zhiyuan Xiao, Xinyu Zhang, Xiang Zhou, Qingrui Zhang	View PDF
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	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
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	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
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	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
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	CMR-Agent: Learning a Cross-Modal Agent for Iterative Image-To-Point Cloud Registration Gongxin Yao, Yixin Xuan, Xinyang Li, Yu Pan	View PDF
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	HeteroLight: A General and Efficient Learning Approach for Heterogeneous Traffic Signal Control YIFENG ZHANG, Peizhuo LI, Mingfeng Fan, Guillaume Adrien Sartoretti	View PDF
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	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
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	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
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	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
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	Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning Suzan Ece Ada, Erhan Oztop, Emre Ugur	View PDF
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	Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning Suzan Ece Ada, Erhan Oztop, Emre Ugur	View PDF
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	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
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	Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang	View PDF
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	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
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	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
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	Self Supervised Detection of Incorrect Human Demonstrations: A Path Toward Safe Imitation Learning by Robots in the Wild Noushad Sojib, Momotaz Begum	View PDF
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	A Hybrid Model and Learning-Based Force Estimation Framework for Surgical Robots Hao Yang, Haoying Zhou, Gregory Scott Fischer, Jie Ying Wu	View PDF
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	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
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	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
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	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
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	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
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	Learning Symbolic and Subsymbolic Temporal Task Constraints from Bimanual Human Demonstrations Christian R. G. Dreher, Tamim Asfour	View PDF
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	Waypoint-Based Reinforcement Learning for Robot Manipulation Tasks Shaunak Mehta, Soheil Habibian, Dylan Losey	View PDF
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	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
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	IMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning Yifan Guo, Zhongqiang Ren, Chen Wang	View PDF
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