IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

423 result(s) for “Autonomous Agents” Page 1 of 9

	Title & Authors	Actions
	DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences Yidong Huang, Jacob Sansom, Ziqiao Ma, Felix Gervits, Joyce Chai	View PDF
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	AutoNeRF: Training Implicit Scene Representations with Autonomous Agents Pierre Marza, Laetitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, Devendra Singh Chaplot	View PDF
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	X-Neuron: Interpreting, Locating and Editing of Neurons in Reinforcement Learning Policy Yuhong Ge, Xun Zhao, Jiangmiao Pang, Mingguo Zhao, Dahua Lin	View PDF
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	SWIFT: Strategic Weather-Informed Image-Based Forecasting for Trajectories Youya Xia, Jose Nino, Yutao Han, Mark Campbell	View PDF
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	Driving Style Alignment for LLM-Powered Driver Agent Ruoxuan Yang, Xinyue Zhang, Anais Fernandez-Laaksonen, Xin Ding, Jiangtao Gong	View PDF
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	Multi-Agent Traffic Prediction Via Denoised Endpoint Distribution Yao Liu, Ruoyu Wang, Yuanjiang Cao, Quan Z. Sheng, Lina Yao	View PDF
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	Optimizing Crowd-Aware Multi-Agent Path Finding through Local Broadcasting with Graph Neural Networks Phu Pham, Aniket Bera	View PDF
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	Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards Hyeokjin Kwon, Gunmin Lee, Junseo Lee, Songhwai Oh	View PDF
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	React to This! How Humans Challenge Interactive Agents Using Nonverbal Behaviors Chuxuan Zhang, Bermet Burkanova, Lawrence H. Kim, Lauren Yip, Ugo Cupcic, Stéphane Lallée, Angelica Lim	View PDF
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	Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model with Fast Training and Inference Speed Alexander Prutsch, Horst Bischof, Horst Possegger	View PDF
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	Towards a Surgeon-In-The-Loop Ophthalmic Robotic Apprentice Using Reinforcement and Imitation Learning Amr Gomaa, Bilal Mahdy, Niko Kleer, Antonio Krüger	View PDF
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	Decentralized Linear Convoying for Underactuated Surface Craft with Partial State Coupling Raymond Turrisi, Michael Benjamin	View PDF
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	MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation Qiushi Lin, Hang Ma	View PDF
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	Seamless Virtual Reality with Integrated Synchronizer and Synthesizer for Autonomous Driving He Li, Ruihua Han, Zirui Zhao, Wei Xu, QI HAO, Shuai Wang, Chengzhong Xu	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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	CASRL: Collision Avoidance with Spiking Reinforcement Learning among Dynamic, Decision-Making Agents Chengjun Zhang, Ka-Wa Yip, Bo Yang, Zhiyong Zhang, Mengwen Yuan, Rui Yan, Huajin Tang	View PDF
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	Time-Ordered Ad-Hoc Resource Sharing for Independent Robotic Agents Arjo Chakravarty, Michael Grey, Viraj Jagathpriya Muthugala Muthugala Arachchige, Mohan Rajesh Elara	View PDF
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	Deep Ad-Hoc Sub-Team Partition Learning for Multi-Agent Air Combat Cooperation Songyuan Fan, Haiyin Piao, Yi Hu, Feng Jiang, Roushu Yang	View PDF
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	Valuing Attrition in a Fleet of Robots Used As Path-Based Sensors for Gathering Information in a Communications Restricted Environment Loy McGuire, Michael W. Otte, Donald Sofge	View PDF
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	Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative Driving Shengchao Yan, Lukas Maximilian König, Wolfram Burgard	View PDF
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	FDNet: Feature Decoupling Framework for Trajectory Prediction Yuhang Li, Changsheng Li, Baoyu Fan, Rongqing Li, Ziyue Zhang, Dongchun Ren, Ye Yuan, Guoren Wang	View PDF
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	Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents Jan-Gerrit Habekost, Connor Gäde, Philipp Allgeuer, Stefan Wermter	View PDF
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	DMFuser: Distilled Multi-Task Learning for End-To-End Transformer-Based Sensor Fusion in Autonomous Driving Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen	View PDF
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	Contingency Games for Multi-Agent Interaction Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora	View PDF
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	A Framework for Neurosymbolic Goal-Conditioned Continual Learning for Open World Environments Pierrick Lorang, Shivam Goel, Yash Shukla, Patrik Zips, Matthias Scheutz	View PDF
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	PGA: Personalizing Grasping Agents with Single Human-Robot Interaction Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Seoyun Yang, Minjoon Jung, Byoung-Tak Zhang	View PDF
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	Multi-Agent Vulcan: An Information-Driven Multi-Agent Path Finding Approach Jake Olkin, Viraj Parimi, Brian Williams	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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	Online Planning for Multi Agent Path Finding in Inaccurate Maps Nir Malka Nir, Guy Shani, Roni Stern	View PDF
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	LiDAR-Based 4D Occupancy Completion and Forecasting Xinhao Liu, Moonjun Gong, Qi Fang, Haoyu Xie, YIMING LI, Hang Zhao, Chen Feng	View PDF
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	Multi-Agent Deep Reinforcement Learning for Persistent Monitoring with Sensing, Communication, and Localization Constraints Manav Mishra, Prithvi Poddar, RAJAT AGRAWAL, Jingxi Chen, Pratap Tokekar, Sujit PB	View PDF
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	D-MARL: A Dynamic Communication-Based Action Space Enhancement for Multi Agent Reinforcement Learning Exploration of Large Scale Unknown Environments Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos	View PDF
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	Behavior Tree Based Decentralized Multi-Agent Coordination for Balanced Servicing of Time Varying Task Queues Niklas Dahlquist, Akshit Saradagi, George Nikolakopoulos	View PDF
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	Human Orientation Estimation under Partial Observation Jieting Zhao, Hanjing Ye, Yu Zhan, Hong Zhang, Hao Luan	View PDF
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	Biased-MPPI: Informing Sampling-Based Model Predictive Control by Fusing Ancillary Controllers Elia Trevisan, Javier Alonso-Mora	View PDF
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	The Power of Input: Benchmarking Zero-Shot Sim-To-Real Transfer of Reinforcement Learning Control Policies for Quadrotor Control Alberto Dionigi, Gabriele Costante, Giuseppe Loianno	View PDF
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	When, What, and with Whom to Communicate: Enhancing RL-Based Multi-Robot Navigation through Selective Communication Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha	View PDF
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	Visual Forecasting As a Mid-Level Representation for Avoidance Hsuan-Kung Yang, Tsung-Chih Chiang, Ting-Ru Liu, Jou-Min Liu, Chun-Wei Huang, Chun-Yi Lee	View PDF
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	Spatiotemporal Co-Design Enabling Prioritized Multi-Agent Motion Planning Yunshen Huang, Wenbo He, Yiannis Kantaros, Shen Zeng	View PDF
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	Multi-Agent Teamwise Cooperative Path Finding and Traffic Intersection Coordination Zhongqiang Ren, Yilin Cai, Hesheng Wang	View PDF
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	P4: Pruning and Prediction-Based Priority Planning Rui Yang, Rajiv Gupta	View PDF
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	CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-Of-Thought Reasoning Kumar Manas, Stefan Zwicklbauer, Adrian Paschke	View PDF
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	Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers Aleksandar Krnjaic, Raul Dacian Steleac, Jonathan David Thomas, Georgios Papoudakis, Lukas Schäfer, Andrew To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter Börsting, Stefano V. Albrecht	View PDF
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	Learning Generalizable Tool-Use Skills through Trajectory Generation Carl Qi, Yilin Wu, Lifan Yu, Haoyue Liu, Bowen Jiang, Xingyu Lin, David Held	View PDF
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	Sim2Real Transfer for Audio-Visual Navigation with Frequency-Adaptive Acoustic Field Prediction Changan Chen Chen, Jordi Ramos Chen, Anshul Tomar, Kristen Grauman	View PDF
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	StratXplore: Strategic Novelty-Seeking and Instruction-Aligned Exploration for Vision and Language Navigation Muraleekrishna Gopinathan, Jumana Abu-Khalaf, David Suter, Martin Masek	View PDF
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	SwarmPRM: Probabilistic Roadmap Motion Planning for Large-Scale Swarm Robotic Systems Yunze Hu, Xuru Yang, Kangjie Zhou, Qinghang Liu, Kang Ding, Han Gao, Pingping Zhu, Chang Liu	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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	SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation Ingrid Navarro, Jay Patrikar, Joao Dantas, Rohan Baijal, Ian Higgins, Sebastian Scherer, Jean Oh	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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