ICRA 2024

2337 papers · 0 AI summaries · 2024

AI summary only

2326 result(s) for “Deep Learning in Grasping and Manipulation” Page 14 of 47

	Title & Authors	Actions
	Learning Highly Dynamic Behaviors for Quadrupedal Robots Chong Zhang, Jiapeng Sheng, Tingguang Li, He Zhang, Cheng Zhou, Qingxu Zhu, Rui Zhao, Yizheng Zhang, Lei Han	View PDF
Loading…
	Projection-Based Fast and Safe Policy Optimization for Reinforcement Learning Shijun Lin, Hao Wang, Ziyang Chen, Zhen Kan	View PDF
Loading…
	TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian Scherer	View PDF
Loading…
	QuadricsNet: Learning Concise Representation for Geometric Primitives in Point Clouds Ji Wu, Huai Yu, Wen Yang, Gui-Song Xia	View PDF
Loading…
	Adapting to the �Open World�: The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning Pierrick Lorang, Horvath Helmut, Tobias Kietreiber, Patrik Zips, Clemens Heitzinger, Matthias Scheutz	View PDF
Loading…
	Robust Quadrupedal Locomotion Via Risk-Averse Policy Learning Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Mingguo Zhao, Xiu Li, Xuelong Li	View PDF
Loading…
	Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning Noémie Jaquier, Leonel Rozo, Tamim Asfour	View PDF
Loading…
	Realtime Brain-Inspired Adaptive Learning Control for Nonlinear Systems with Configuration Uncertainties Yanhui Zhang, zheyu tong, YiFan Zhang, SONG CHEN, Junyuan Yang, Weifang Chen	View PDF
Loading…
	Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation Bowei Xing, Xianghua Ying, Ruibin Wang	View PDF
Loading…
	Learning Vision-Based Bipedal Locomotion for Challenging Terrain Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart Jaap van Marum, Jeremy Dao, Chanho Kim, Alan Fern	View PDF
Loading…
	Contrastive Initial State Buffer for Reinforcement Learning Nico Messikommer, Yunlong Song, Davide Scaramuzza	View PDF
Loading…
	Learning-Based Motion Planning with Mixture Density Networks Yinghan Wang, Jianping He, Xiaoming Duan	View PDF
Loading…
	Automatic Loading of Unknown Material with a Wheel Loader Using Reinforcement Learning Daniel Eriksson, Reza Ghabcheloo, Marcus Geimer	View PDF
Loading…
	Model-Based Compliance Discrimination Via Soft Tactile Optical Sensing and Optical Flow Computation: A Biomimetic Approach Giulia Pagnanelli, Simone Ciotti, Nathan Lepora, Antonio Bicchi, Matteo Bianchi	View PDF
Loading…
	LPNet: A Reaction-Based Local Planner for Autonomous Collision Avoidance Using Imitation Learning Junjie Lu, Bailing Tian, Hongming Shen, Xuewei Zhang, Yulin Hui	View PDF
Loading…
	Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds Tilman Daab, Noémie Jaquier, Christian R. G. Dreher, Andre Meixner, Franziska Krebs, Tamim Asfour	View PDF
Loading…
	AdaptAUG: Adaptive Data Augmentation Framework for Multi-Agent Reinforcement Learning Xin Yu, Yongkai Tian, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi	View PDF
Loading…
	Learning-Based Propulsion Control for Amphibious Quadruped Robots with Dynamic Adaptation to Changing Environment Qingfeng Yao, Linghan Meng, Qifeng Zhang, Jing Zhao, Joni Pajarinen, Xiaohui Wang, Zhibin (Alex) Li, Cong Wang	View PDF
Loading…
	Learning User Preferences for Complex Cobotic Tasks: Meta-Behaviors and Human Groups Elena Vella, Airlie Chapman, Nir Lipovetzky	View PDF
Loading…
	Synthesis of Temporally-Robust Policies for Signal Temporal Logic Tasks Using Reinforcement Learning Siqi Wang, Shaoyuan Li, Li Yin, Xiang Yin	View PDF
Loading…
	Synthesize Efficient Safety Certificates for Learning-Based Safe Control Using Magnitude Regularization Haotian Zheng, Haitong Ma, Sifa Zheng, Shengbo Eben Li, Jianqiang Wang	View PDF
Loading…
	Improving Out-Of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds Yating Lin, Glen Chou, Dmitry Berenson	View PDF
Loading…
	SliceIt! - a Dual Simulator Framework for Learning Robot Food Slicing Cristian Camilo Beltran-Hernandez, Nicolas Erbetti, Masashi Hamaya	View PDF
Loading…
	ConBaT: Control Barrier Transformer for Safe Robot Learning from Demonstrations Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor	View PDF
Loading…
	VO-Safe Reinforcement Learning for Drone Navigation Feiqiang Lin, Changyun Wei, Raphael Grech, Ze Ji	View PDF
Loading…
	On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach Alaa Eddine Chriat, Chuangchuang Sun	View PDF
Loading…
	Crossway Diffusion: Improving Diffusion-Based Visuomotor Policy Via Self-Supervised Learning Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo	View PDF
Loading…
	Lens Capsule Tearing in Cataract Surgery Using Reinforcement Learning Rebekka Charlotte Peter, Steffen Peikert, Ludwig Haide, Doan Xuan Viet Pham, Tahar Chettaoui, Eleonora Tagliabue, Paul Maria Scheikl, Johannes Fauser, Matthias Hillenbrand, Gerhard Neumann, Franziska Mathis-Ullrich	View PDF
Loading…
	A Multifidelity Sim-To-Real Pipeline for Verifiable and Compositional Reinforcement Learning Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu	View PDF
Loading…
	Iterative Learning Control for Deformable Open-Frame Cable-Driven Parallel Robots Wuichung Cheng, Ngo Foon Chan, Darwin Lau	View PDF
Loading…
	Data-Driven Latent Space Representation for Robust Bipedal Locomotion Learning Guillermo A. Castillo, Bowen Weng, Wei Zhang, Ayonga Hereid	View PDF
Loading…
	End-To-End Reinforcement Learning for Time Optimal Quadcopter Flight Robin Ferede, Christophe De Wagter, Dario Izzo, Guido de Croon	View PDF
Loading…
	Prompt, Plan, Perform: LLM-Based Humanoid Control Via Quantized Imitation Learning Jingkai SUN, Qiang Zhang, YIQUN DUAN, Xiaoyang Jiang, Chong Cheng, Renjing Xu	View PDF
Loading…
	Chance-Aware Lane Change with High-Level Model Predictive Control through Curriculum Reinforcement Learning Yubin Wang, Yulin Li, Zengqi Peng, Hakim Ghazzai, Jun Ma	View PDF
Loading…
	Joint Response and Background Learning for UAV Visual Tracking Biao Wang, Wenling Li, Bin Zhang, Yang Liu	View PDF
Loading…
	Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao	View PDF
Loading…
	REFORMA: Robust REinFORceMent Learning Via Adaptive Adversary for Drones Flying under Disturbances Hao-Lun Hsu, Haocheng Meng, Shaocheng Luo, Juncheng Dong, Vahid Tarokh, Miroslav Pajic	View PDF
Loading…
	Cascaded Compositional Residual Learning for Complex Interactive Behaviors Niranjan Kumar Kannabiran, Irfan Essa, Sehoon Ha	View PDF
Loading…
	Integrating Robot Assignment and Maintenance Management: A Multi-Agent Reinforcement Learning Approach for Holistic Control Kshitij Bhatta, Qing Chang	View PDF
Loading…
	Prompting Multi-Modal Tokens to Enhance End-To-End AutonomousDriving Imitation Learning with LLMs YIQUN DUAN, Qiang Zhang, Renjing Xu	View PDF
Loading…
	INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields Julia Hindel, Nikhil Gosala, Kevin Bregler, Abhinav Valada	View PDF
Loading…
	How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems Oswin So, Zachary Serlin, Makai Mann, Jake Gonzales, Kwesi Rutledge, Nicholas Roy, Chuchu Fan	View PDF
Loading…
	Inverse Constraint Learning and Generalization by Transferable Reward Decomposition Jaehwi Jang, Minjae Song, Daehyung Park	View PDF
Loading…
	POLITE: Preferences Combined with Highlights in Reinforcement Learning Simon Holk, Daniel Marta, Iolanda Leite	View PDF
Loading…
	OpenBot-Fleet: A System for Collective Learning with Real Robots Matthias Müller, Samarth Manoj Brahmbhatt, Ankur Deka, Quentin Leboutet, David Hafner, Vladlen Koltun	View PDF
Loading…
	Learning-based Inverse Perception Contracts and Applications Dawei Sun, benjamin yang, Sayan Mitra	View PDF
Loading…
	A Provably Stable Iterative Learning Controller for Continuum Soft Robots Michele Pierallini, Francesco Stella, Franco Angelini, Bastian Deutschmann, Josie Hughes, Antonio Bicchi, Manolo Garabini, Cosimo Della Santina	View PDF
Loading…
	Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations Kefei Wu, Xuming He, Yang Wang, Xiaopei Liu	View PDF
Loading…
	Hierarchical Human-To-Robot Imitation Learning for Long-Horizon Tasks Via Cross-Domain Skill Alignment Zhenyang Lin, Yurou Chen, Zhiyong Liu	View PDF
Loading…
	A Generalized Acquisition Function for Preference-Based Reward Learning Evan Ellis, Gaurav Ghosal, Stuart Jonathan Russell, Anca Dragan, Erdem Bıyık	View PDF
Loading…