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ICRA 2024

2337 papers · 0 AI summaries · 2024

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2315 result(s) for “Integrated Planning and Learning” Page 10 of 47
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Fast Task Allocation of Heterogeneous Robots with Temporal Logic and Inter-Task Constraints
Lin Li, Ziyang Chen, Hao Wang, Zhen Kan
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Pegasus: A Novel Bio-Inspired Quadruped Robot with Underactuated Wheeled-Legged Mechanism
Yuzhen Pan, Rezwan Al Islam Khan, Chenyun Zhang, zhang anzheng, Huiliang Shang
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Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry
Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard
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VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, DEEPAK GUPTA, Vinay Namboodiri, Piyush Rai
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A Kinetostatic Model for Concentric Push-Pull Robots
Jake Childs, Caleb Rucker
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Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Method Using Control Barrier Functions
Ji Yin, Charles Dawson, Chuchu Fan, Panagiotis Tsiotras
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AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
Dongsu Lee, Chanin Eom, Minhae Kwon
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Real-Time Capable Decision Making for Autonomous Driving Using Reachable Sets
Niklas Kochdumper, Stanley Bak
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Autonomous Navigation with Online Replanning and Recovery Behaviors for Wheeled-Legged Robots Using Behavior Trees
Alessio De Luca, Luca Muratore, Nikos Tsagarakis
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Indoor Exploration and Simultaneous Trolley Collection through Task-Oriented Environment Partitioning
Junjie Gao, Peijia Xie, Xuheng Gao, Zhirui Sun, Jiankun Wang, Max Q.-H. Meng
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HabitatDyn 2.0: Dataset for Spatial Anticipation and Dynamic Object Localization
Zhengcheng Shen, Linh Kästner, Yi Gao, Jens Lambrecht
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Statistical Stratification and Benchmarking of Robotic Grasping Performance
Brice Denoun, Miles Hansard, Beatriz Leon, Lorenzo Jamone
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Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
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Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering
Yu Shen, Laura Zheng, Tianyi Zhou, Ming C. Lin
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Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots
Hyukjun Kwon, kangwon kim, JUNYOUNG LEE, Hyunsei Lee, Jiseung Kim, JINHYUNG KIM, taehyeong Kim, Yong Nyeon Kim, Yang Ni, Mohsen Imani, Il Hong Suh, Yeseong Kim
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Robust and Remote Center of Cyclic Motion Control for Redundant Robots with Partially Unknown Structure
Long Jin, Kun Liu, Mei Liu
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Online Calibration of a Single-Track Ground Vehicle Dynamics Model by Tight Fusion with Visual-Inertial Odometry
Haolong Li, Joerg Stueckler
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CrossVideo: Self-Supervised Cross-Modal Contrastive Learning for Point Cloud Video Understanding
Yunze Liu, Changxi Chen, Zifan Wang, Li Yi
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Adaptive Robot-Human Handovers with Preference Learning
Gojko Perovic, Francesco Iori, Angela Mazzeo, Marco Controzzi, Egidio Falotico
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Learning Active Manipulation to Target Shapes with Model-Free, Long-Horizon Deep Reinforcement Learning
Matias Sivertsvik, Kirill Sumskiy, Ekrem Misimi
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MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception
Gyan Tatiya, Jonathan Francis, Ho-Hsiang Wu, Yonatan Bisk, Jivko Sinapov
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Learning Needle Pick-And-Place without Expert Demonstrations
Rokas Bendikas, Valerio Modugno, Dimitrios Kanoulas, Francisco Vasconcelos, Danail Stoyanov
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ORBIT-Surgical: An Open-Simulation Framework for Learning Surgical Augmented Dexterity
Qinxi Yu, Masoud Moghani, Karthik Dharmarajan, Vincent Schorp, William Panitch, Jingzhou Liu, Kush Hari, Huang Huang, Mayank Mittal, Ken Goldberg, Animesh Garg
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An Offline Learning of Behavior Correction Policy for Vision-Based Robotic Manipulation
Qingxiuxiong Dong, Toshimitsu Kaneko, Masashi Sugiyama
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Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka
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Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
Thomas Lampe, Abbas Abdolmaleki, Sandy H. Huang, Sarah Bechtle, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin Riedmiller
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Optimal Containment Control of Multiple Quadrotors Via Reinforcement Learning
Ming Cheng, Hao Liu, Deyuan Liu, Haibo Gu, Xiangke Wang
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CIDGIKc: Distance-Geometric Inverse Kinematics for Continuum Robots
Hanna Zhang, Matthew Giamou, Filip Maric, Jonathan Kelly, Jessica Burgner-Kahrs
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Reinforcement Learning for Collision-Free Flight Exploiting Deep Collision Encoding
Mihir Kulkarni, Kostas Alexis
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Uncertainty-Driven Exploration Strategies for Online Grasp Learning
Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Hanna Ziesche, Zohar Feldman, Ngo Anh Vien
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Multi-Robot Cooperative Socially-Aware Navigation Using Multi-Agent Reinforcement Learning
Weizheng Wang, Le Mao, Ruiqi Wang, Byung-Cheol Min
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Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing
Haoru Xue, Edward Zhu, John M. Dolan, Francesco Borrelli
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Unified Motion Planner for Walking, Running, and Jumping Using the Three-Dimensional Divergent Component of Motion
George Mesesan, Robert Schuller, Johannes Englsberger, Christian Ott, Alin Albu-Schäffer
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Asymptotically-Optimal Multi-Robot Visibility-Based Pursuit-Evasion
Nicholas Stiffler, Jason O'Kane
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Learning Force Control for Legged Manipulation
Tifanny Portela, Gabriel Margolis, Yandong Ji, Pulkit Agrawal
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An Efficient Model Based Approach on Learning Agile Motor Skills without Reinforcement
Haojie Shi, Tingguang Li, Qingxu Zhu, Jiapeng Sheng, Lei Han, Max Q.-H. Meng
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Interactive Continual Learning Architecture for Long-Term Personalization of Home Service Robots
Ali Ayub, Chrystopher Nehaniv, Kerstin Dautenhahn
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Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills
Ben Abbatematteo, Eric Rosen, Skye Thompson, Mete Tuluhan Akbulut, Sreehari Rammohan, George Konidaris
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Learning Failure Prevention Skills for Safe Robot Manipulation
Abdullah Cihan Ak, Eren Erdal Aksoy, Sanem Sariel
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Automation and Artificial Intelligence Technology in Surface Mining: State of the Art, Challenges and Opportunities
Raymond Leung, Andrew John Hill, Arman Melkumyan
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PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction
Zhen Luo, Junyi Ma, Zijie Zhou, Guangming Xiong
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Lifelong Robot Learning with Human Assisted Language Planners
Meenal Parakh, Alisha Fong, Anthony Simeonov, Tao Chen, Abhishek Gupta, Pulkit Agrawal
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Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints
Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe
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Distributional Reinforcement Learning with Sample-Set Bellman Update
Weijian Zhang, Jianshu Wang, Yu Yang
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Under Pressure: Learning-Based Analog Gauge Reading in the Wild
Maurits Reitsma, Julian Keller, Kenneth Blomqvist, Roland Siegwart
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Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning
Senlin Fang, Yi Wen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu
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Direct learning of home vector direction for insect-inspired robot navigation
Michiel Vital M Firlefyn, Jesse Hagenaars, Guido de Croon
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Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration
Li Ling, Jun Zhang, Nils Bore, John Folkesson, Anna Wåhlin
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Hierarchical Meta-Learning-Based Adaptive Controller
Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung
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Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds
francesco vezzi, Jiatao Ding, Antonin Raffin, Jens Kober, Cosimo Della Santina
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