IROS 2024

1856 papers · 0 AI summaries · 2024

AI summary only

603 result(s) for “Incremental Learning” Page 3 of 13

	Title & Authors	Actions
	Learning Long-Horizon Predictions for Quadrotor Dynamics Pratyaksh Rao, Alessandro Saviolo, Tommaso Castiglione Ferrari, Giuseppe Loianno	View PDF
Loading…
	A Scalable Platform for Robot Learning and Physical Skill Data Collection Samuel Schneider, Yansong Wu, Fan Wu, Lars Johannsmeier, Sami Haddadin	View PDF
Loading…
	Towards Human-Centered Construction Robotics: A Reinforcement Learning-Driven Companion Robot for Contextually Assisting Carpentry Workers Yuning Wu, Jiaying Wei, Jean Oh, Daniel Cardoso Llach	View PDF
Loading…
	Reinforcement Learning with Generalizable Gaussian Splatting Jiaxu Wang, Qiang Zhang, Jingkai SUN, Jiahang Cao, Gang Han, Wen Zhao, Weining ZHANG, Yecheng Shao, Yijie Guo, Renjing Xu	View PDF
Loading…
	Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks David Patricio Valencia Redrovan, Henry Williams, Yuning Xing, Trevor Gee, Minas Liarokapis, Bruce MacDonald	View PDF
Loading…
	Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation Shivam Chaubey, Francesco Verdoja, Ville Kyrki	View PDF
Loading…
	Terrain-Attentive Learning for Efficient 6-DoF Kinodynamic Modeling on Vertically Challenging Terrain Aniket Datar, Chenhui Pan, Mohammad Nazeri, Anuj Pokhrel, Xuesu Xiao	View PDF
Loading…
	BaRiFlex: A Robotic Gripper with Versatility and Collision Robustness for Robot Learning Gu-Cheol Jeong, Arpit Bahety, Gabriel Pedraza, Ashish Deshpande, Roberto MartÃn-MartÃn	View PDF
Loading…
	GraspContrast: Self-Supervised Contrastive Learning with False Negative Elimination for 6-DoF Grasp Detection Wenshuo Wang, Haiyue Zhu, Marcelo H Ang Jr	View PDF
Loading…
	Learning-Based Adaptive Control of Quadruped Robots for Active Stabilization on Moving Platforms Minsung Yoon, Heechan Shin, Jeil Jeong, Sung-eui Yoon	View PDF
Loading…
	Arm-Constrained Curriculum Learning for Loco-Manipulation of a Wheel-Legged Robot Zifan Wang, Yufei Jia, Lu Shi, Haoyu Wang, Haizhou Zhao, Xueyang Li, Jinni ZHOU, Jun Ma, Guyue Zhou	View PDF
Loading…
	Dynamic Manipulation of Deformable Objects Using Imitation Learning with Adaptation to Hardware Constraints Eric Hannus, Tran Nguyen Le, David Blanco-Mulero, Ville Kyrki	View PDF
Loading…
	DexDribbler: Learning Dexterous Soccer Manipulation Via Dynamic Supervision Yutong Hu, Kehan Wen, Fisher Yu	View PDF
Loading…
	Learning a Shape-Conditioned Agent for Purely Tactile In-Hand Manipulation of Various Objects Johannes Pitz, Lennart Röstel, Leon Sievers, Darius Burschka, Berthold Bäuml	View PDF
Loading…
	Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation Hao Zhang, Hao Wang, Xiucai Huang, Wenrui Chen, Zhen Kan	View PDF
Loading…
	MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations Prasad, Vignesh,Kshirsagar, Alap,Koert, Dorothea,Stock-Homburg, Ruth,Peters, Jan,Chalvatzaki, Georgia	View PDF
Loading…
	Exploring Constrained Reinforcement Learning Algorithms for Quadrupedal Locomotion Joonho Lee, Lukas Schroth, Victor Klemm, Marko Bjelonic, Alexander Reske, Marco Hutter	View PDF
Loading…
	Roofus: Learning-Based Robotic Moisture Mapping on Flat Rooftops with Ground Penetrating Radar Kevin Lee, Wei-Heng Lin, Talha Javed, Sruti Madhusudhan, Bilal Sher, Chen Feng	View PDF
Loading…
	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
Loading…
	Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards Zhaorun Chen,Zhuokai Zhao,Tairan He,BinHao Chen,Xuhao Zhao,Liang Gong,Chengliang Liu	View PDF
Loading…
	Sensorimotor Attention and Language-Based Regressions in Shared Latent Variables for Integrating Robot Motion Learning and LLM Kanata Suzuki, Tetsuya Ogata	View PDF
Loading…
	Domain Adaptation in Visual Reinforcement Learning Via Self-Expert Imitation with Purifying Latent Feature Lin Chen, Jianan Huang, zhen zhou, Yaonan Wang, Yang Mo, Zhiqiang Miao, Kai Zeng, Mingtao Feng, Danwei Wang	View PDF
Loading…
	METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation Junwon Seo, Taekyung Kim, Seongyong Ahn, Kiho Kwak	View PDF
Loading…
	Learning-On-The-Drive: Self-Supervised Adaptive Long-Range Perception for High-Speed Offroad Driving Eric Chen, Cherie Ho, Mukhtar Maulimov, Chen Wang, Sebastian Scherer	View PDF
Loading…
	Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot Philip Lorimer, Jack Saunders, Alan Joseph Hunter, Wenbin Li	View PDF
Loading…
	Deep Reinforcement Learning-Based Large-Scale Robot Exploration Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Adrien Sartoretti	View PDF
Loading…
	Learning Sampling Distribution and Safety Filter for Autonomous Driving with VQ-VAE and Differentiable Optimization Simon Idoko, basant sharma, Arun Kumar Singh	View PDF
Loading…
	PCDepth: Pattern-Based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds Haotian Liu, Sanqing Qu, FAN LU, Zongtao Bu, Florian Roehrbein, Alois Knoll, Guang Chen	View PDF
Loading…
	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
Loading…
	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
Loading…
	StereoNavNet: Learning to Navigate Using Stereo Cameras with Auxiliary Occupancy Voxels Hongyu Li, Taskin Padir, Huaizu Jiang	View PDF
Loading…
	Skill Q-Network: Learning Adaptive Skill Ensemble for Mapless Navigation in Unknown Environments Hyunki Seong, David Hyunchul Shim	View PDF
Loading…
	Multi-Modal Motion Prediction Using Temporal Ensembling with Learning-Based Aggregation Kai-Yin Hong, Chieh-Chih Wang, Wen-Chieh Lin	View PDF
Loading…
	DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction Ameya Pore, Riccardo Muradore, Diego Dall'Alba	View PDF
Loading…
	Learning Agile Locomotion on Risky Terrains Chong Zhang, Nikita Rudin, David Hoeller, Marco Hutter	View PDF
Loading…
	Autonomous Storytelling for Social Robot with Human-Centered Reinforcement Learning Lei Zhang, Chuanxiong Zheng, Hui Wang, Randy Gomez, Eric Nichols, Guangliang Li	View PDF
Loading…
	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
Loading…
	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
Loading…
	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
Loading…
	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
Loading…
	Safe Multi-Agent Reinforcement Learning for Bimanual Dexterous Manipulation Weishu Zhan, Peter Chin	View PDF
Loading…
	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
Loading…
	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
Loading…
	ARCADE: Scalable Demonstration Collection and Generation Via Augmented Reality for Imitation Learning Yue Yang, Bryce Ikeda, Gedas Bertasius, Daniel J. Szafir	View PDF
Loading…
	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
Loading…
	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
Loading…
	HyperTaxel: Hyper-Resolution for Taxel-Based Tactile Signals through Contrastive Learning Hongyu Li, Snehal Dikhale, Jinda Cui, Soshi Iba, Nawid Jamali	View PDF
Loading…
	Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning PRASANTH SENGADU SURESH, Siddarth Jain, Prashant Doshi, Diego Romeres	View PDF
Loading…
	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
Loading…
	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
Loading…