ICRA 2024

2337 papers · 0 AI summaries · 2024

AI summary only

758 result(s) for “Transfer Learning” Page 5 of 16

	Title & Authors	Actions
	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…
	Rank2Reward: Learning Shaped Reward Functions from Passive Video Daniel Yang, Davin Tjia, Jacob Herman Berg, Dima Damen, Pulkit Agrawal, Abhishek Gupta	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…
	Bi-KVIL: Keypoints-Based Visual Imitation Learning of Bimanual Manipulation Tasks Jianfeng Gao, Xiaoshu Jin, Franziska Krebs, Noémie Jaquier, Tamim Asfour	View PDF
Loading…
	Learning Agile Flights through Narrow Gaps with Varying Angles Using Onboard Sensing Yuhan XIE, Minghao Lu, Rui Peng, Peng Lu	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…
	Contrastive Initial State Buffer for Reinforcement Learning Nico Messikommer, Yunlong Song, Davide Scaramuzza	View PDF
Loading…
	Automatic Loading of Unknown Material with a Wheel Loader Using Reinforcement Learning Daniel Eriksson, Reza Ghabcheloo, Marcus Geimer	View PDF
Loading…
	Learning-Based Motion Planning with Mixture Density Networks Yinghan Wang, Jianping He, Xiaoming Duan	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…
	A Deep Learning Framework for Non-Symmetrical Coulomb Friction Identification of Robotic Manipulators Marcel Lahoud, Gabriele Marchello, Mariapaola D'Imperio, Andreas Mueller, Ferdinando Cannella	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…
	Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing Haolan Liu, Liangjun Zhang, Siva Kumar Sastry Hari, Jishen Zhao	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…
	Enhanced Human-Robot Collaboration with Intent Prediction Using Deep Inverse Reinforcement Learning Mukund Mitra, Gyanig Kumar, Partha Pratim Chakrabarti, PRADIPTA Biswas	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…
	Soft and Rigid Object Grasping with Cross-Structure Hand Using Bilateral Control-Based Imitation Learning Koki Yamane, Yuki Saigusa, Sho Sakaino, Toshiaki Tsuji	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…
	Robotic Grasping of Harvested Tomato Trusses Using Vision and Online Learning Luuk van den Bent, Tomás Coleman, Robert Babuska	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…
	SliceIt! - a Dual Simulator Framework for Learning Robot Food Slicing Cristian Camilo Beltran-Hernandez, Nicolas Erbetti, Masashi Hamaya	View PDF
Loading…
	VO-Safe Reinforcement Learning for Drone Navigation Feiqiang Lin, Changyun Wei, Raphael Grech, Ze Ji	View PDF
Loading…
	Learning Terminal State of the Trajectory Planner: Application for Collision Scenarios of Autonomous Vehicles Joonhee Lim, Kibeom Lee, Dongsuk Kum	View PDF
Loading…
	SLIM: Skill Learning with Multiple Critics David Emukpere, Bingbing WU, JULIEN PEREZ, Jean-Michel RENDERS	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…
	Joint-Loss Enhanced Self-Supervised Learning for Refinement-Coupled Object 6D Pose Estimation Fengjun Mu, Shixiang Sun, Rui Huang, Chaobin Zou, Wenjiang Li, Huayi Zhan, Hong Cheng	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…
	Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images David Benjamin Adrian, Andras Kupcsik, Markus Spies, Heiko Neumann	View PDF
Loading…
	Learning to Explore Indoor Environments Using Autonomous Micro Aerial Vehicles Yuezhan Tao, Eran Iceland, Beiming Li, Elchanan Zwecher, Uri Heinemann, Avraham Cohen, Amir Avni, Oren Gal, Ariel Barel, Vijay Kumar	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…
	Data-Driven Latent Space Representation for Robust Bipedal Locomotion Learning Guillermo A. Castillo, Bowen Weng, Wei Zhang, Ayonga Hereid	View PDF
Loading…
	Iterative Learning Control for Deformable Open-Frame Cable-Driven Parallel Robots Wuichung Cheng, Ngo Foon Chan, Darwin Lau	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…
	A Reinforcement Learning-Based Control Strategy for Robust Interaction of Robotic Systems with Uncertain Environments Diletta Sacerdoti, Federico Benzi, Cristian Secchi	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…
	Learning Extrinsic Dexterity with Parameterized Manipulation Primitives Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov	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…
	Joint Response and Background Learning for UAV Visual Tracking Biao Wang, Wenling Li, Bin Zhang, Yang Liu	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…
	Integrating Robot Assignment and Maintenance Management: A Multi-Agent Reinforcement Learning Approach for Holistic Control Kshitij Bhatta, Qing Chang	View PDF
Loading…
	Touch-Based Manipulation with Multi-Fingered Robot using Off-policy RL and Temporal Contrastive Learning Naoki Morihira, Pranav Deo, Manoj Bhadu, Akinobu Hayashi, Tadaaki Hasegawa, Satoshi Otsubo, Takayuki Osa	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…