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ICRA 2024

2337 papers · 0 AI summaries · 2024

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2226 result(s) for “Deep Learning for Visual Perception” Page 17 of 45
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VBOC: Learning the Viability Boundary of a Robot Manipulator Using Optimal Control
Asia La Rocca, Matteo Saveriano, Andrea Del Prete
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Learning Fabric Manipulation in the Real World with Human Videos
Robert Lee, Jad Abou-Chakra, Fangyi Zhang, Peter Corke
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Learning for Dynamic Subteaming and Voluntary Waiting in Heterogeneous Multi-Robot Collaborative Scheduling
Williard Joshua Jose, Hao Zhang
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Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning
Xiao Ma, Wu-Jun Li
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IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, ÜrÃ1⁄4n Dogan, Zheqing Zhu, Olivier Delalleau
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Adaptive Motion Scaling for Robot-Assisted Microsurgery Based on Hybrid Offline Reinforcement Learning and Damping Control
Peiyang Jiang, Wei Li, Yifan Li, Dandan Zhang
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Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving with Model Predictive Path Integral Control
Hojin Lee, Taekyung Kim, Jungwi Mun, Wonsuk Lee
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The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation
Hugues THOMAS, Jian Zhang, Timothy Barfoot
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Online-Learning-Based Distributionally Robust Motion Control with Collision Avoidance for Mobile Robots
Han Wang, Chao Ning, longyan Li, Weidong Zhang
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Efficient Composite Learning Robot Control under Partial Interval Excitation
Tian Shi, Weibing Li, Haoyong Yu, Yongping Pan
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Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment
Gokul Puthumanaillam, Xiangyu Liu, Negar Mehr, Melkior Ornik
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MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity
Hojun Chung, Jeongwoo Oh, Jae Seok Heo, Gunmin Lee, Songhwai Oh
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Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
Hongyu Sun, Yongcai Wang, Wang Chen, Haoran Deng, Deying Li
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Phasic Diversity Optimization for Population-Based Reinforcement Learning
Jingcheng Jiang, Haiyin Piao, Yu Fu, Yihang Hao, Chuanlu Jiang, Ziqi Wei, Xin Yang
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Learning Agile Bipedal Motions on a Quadrupedal Robot
Yunfei Li, Jinhan Li, Wei Fu, Yi Wu
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AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild
Hongjie Fang, Hao-Shu Fang, Yiming Wang, Jieji Ren, Jingjing Chen, ruo zhang, Weiming Wang, Cewu Lu
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Learning Diverse Skills for Local Navigation under Multi-Constraint Optimality
Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius
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Learning Generalizable Patrolling Strategies through Domain Randomization of Attacker Behaviors
Carlos Diaz Alvarenga, Nicola Basilico, Stefano Carpin
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Maximising Coefficiency of Human-Robot Handovers through Reinforcement Learning
Marta Lagomarsino, Marta Lorenzini, Merryn Dale Constable, Elena De Momi, Cristina Becchio, Arash Ajoudani
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HandNeRF: Learning to Reconstruct Hand-Object Interaction Scene from a Single RGB Image
Hongsuk Choi, Nikhil Chavan-Dafle, Jiacheng Yuan, Volkan Isler, Hyun Soo Park
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Few-Shot Learning of Force-Based Motions from Demonstration through Pre-Training of Haptic Representation
Marina Y. Aoyama, Joao Moura, Namiko Saito, Sethu Vijayakumar
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Controlling FES of Arm Movements Using Physics-Informed Reinforcement Learning Via Co-Kriging Adjustment
Nat Wannawas, Clara Diaz-Pintado, Jyotindra Narayan, Aldo Faisal
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ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots
Milad Shafiee, Guillaume Bellegarda, Auke Ijspeert
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NFL: Normal Field Learning for 6-DoF Grasping of Transparent Objects
Junho Lee, Sang Min Kim, Yonghyeon Lee, Young Min Kim
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Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery
Tianyi Zhang, Matthew Johnson-Roberson
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Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
xiao zhang, Hai Zhang, Hongtu Zhou, Chang Huang, Di Zhang, Chen Ye, Junqiao Zhao
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Multi-Task Learning for Real-Time Autonomous Driving Leveraging Task-Adaptive Attention Generator
Wonhyeok Choi, Mingyu Shin, HYUKZAE LEE, Jaehoon Cho, Jaehyeon Park, Sunghoon Im
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Enhancing Task Performance of Learned Simplified Models Via Reinforcement Learning
Hien Bui, Michael Posa
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Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models
Alex LaGrassa, Moonyoung Lee, Oliver Kroemer
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Learning to Catch Reactive Objects with a Behavior Predictor
Kai Lu, Jia-Xing Zhong, Bo Yang, Bing Wang, Andrew Markham
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A Learning-Based Framework for Safe Human-Robot Collaboration with Multiple Backup Control Barrier Functions
Neil Janwani, Ersin Das, Thomas Touma, Skylar Wei, Tamas G. Molnar, Joel Burdick
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Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints
Zhe Huang, Hongyu Chen, John Pohovey, Katherine Driggs-Campbell
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Active Learning with Dual Model Predictive Path-Integral Control for Interaction-Aware Autonomous Highway On-Ramp Merging
Jacob Knaup, Jovin D'sa, Behdad Chalaki, Tyler Naes, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Panagiotis Tsiotras
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Learning Heterogeneous Multi-Agent Allocations for Ergodic Search
Ananya Rao, Guillaume Adrien Sartoretti, Howie Choset
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VAPOR: Legged Robot Navigation in Unstructured Outdoor Environments Using Offline Reinforcement Learning
Kasun Weerakoon Kulathun Mudiyanselage, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Dinesh Manocha
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UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments
Samuel Triest, David D. Fan, Sebastian Scherer, Ali-akbar Agha-mohammadi
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One-Shot Learning for Task-Oriented Grasping
Valerija Holomjova, Andrew Starkey, Bruno Yun, Pascal Meißner
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DefGoalNet: Contextual Goal Learning from Demonstrations for Deformable Object Manipulation
Bao Thach, Tanner Watts, Shing-Hei Ho, Tucker Hermans, Alan Kuntz
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Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots
Simon Chamorro, Victor Klemm, Miguel de la Iglesia Valls, CHRIS PAL, Roland Siegwart
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Learning Robot Motion in a Cluttered Environment Using Unreliable Human Skeleton Data Collected by a Single RGB Camera
Ryota Takamido, Jun Ota
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A Learning-Based Approach for Estimating Inertial Properties of Unknown Objects from Encoder Discrepancies
Zizhou Lao, Yuanfeng Han, Yunshan Ma, Gregory Chirikjian
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Safe and Individualized Motion Planning for Upper-Limb Exoskeleton Robots Using Human Demonstration and Interactive Learning
Yu Chen, Gong Chen, jing ye, Xiangjun Qiu, Xiang LI
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Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark
Juncheng Li, David Cappelleri
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Goal-Conditioned Reinforcement Learning with Disentanglement-Based Reachability Planning
Zhifeng Qian, YOU MINGYU, Zhou Hongjun, Xuanhui Xu, Bin He
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N2M2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
Daniel Honerkamp, Tim Welschehold, Abhinav Valada
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You Only Label Once: 3D Box Adaptation from Point Cloud to Image with Semi-Supervised Learning
Jieqi Shi, Peiliang LI, Xiaozhi Chen, Shaojie Shen
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An Ergo-Interactive Framework for Human-Robot Collaboration Via Learning from Demonstration
Zhiwei Liao, Marta Lorenzini, Mattia Leonori, Fei Zhao, Gedong Jiang, Arash Ajoudani
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Imitation Learning-Based System for the Execution of Self-Paced Robotic-Assisted Passive Rehabilitation Exercises
Rafael J. Escarabajal, José Luis Pulloquinga, Pau Zamora-Ortiz, Angel Valera, Vicente Mata, Marina Valles
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Safety Optimized Reinforcement Learning Via Multi-Objective Policy Optimization
Homayoun Honari, Mehran Ghafarian Tamizi, Homayoun Najjaran
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Learning Temporal Cues by Predicting Objects Move for Multi-Camera 3D Object Detection
Seokha Moon, Hongbeen Park, Jaekoo Lee, Jinkyu Kim
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