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1642 result(s) for “Learning and Adaptive Systems” Page 2 of 33
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Adaptive Heading for Perception-Aware Trajectory Following
Jonatan Scharff Willners, Sean Katagiri, Shida Xu, Tomasz Luczynski, Joshua Roe, Yvan R. Petillot
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Neuromechanical Model-Based Adaptive Control of Bi-Lateral Ankle Exoskeletons: Biological Joint Torque and Electromyogram Reduction across Walking Conditions
Guillaume Durandau, Wolfgang Franz Rampeltshammer, Herman Van der Kooij, Massimo Sartori
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Event-Triggered Optimal Formation Tracking Control Using Reinforcement Learning for Large-Scale UAV Systems
Ziwei Yan, Liang Han, Xiaoduo Li, Jinjie Li, Zhang Ren
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Deep Predictive Model Learning with Parametric Bias: Handling Modeling Difficulties and Temporal Model Changes
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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Portable Multi-Hypothesis Monte Carlo Localization for Mobile Robots
Alberto García, Francisco Martin Rico, Jose Miguel Guerrero, Francisco Javier Rodríguez Lera, Vicente Matellan
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Learning Stable Vector Fields on Lie Groups
Julen Urain De Jesus, Davide Tateo, Jan Peters
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Learning Arm-Assisted Fall Damage Reduction and Recovery for Legged Mobile Manipulators
YUNTAO MA, Farbod Farshidian, Marco Hutter
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Mechanical Intelligence for Prehensile In-Hand Manipulation of Spatial Trajectories
Qiujie Lu, Zhongxue Gan, Xinran Wang, Guochao Bai, Zhuang Zhang, Nicolas Rojas
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Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
Resul Dagdanov, Halil Durmuş, Nazim Kemal Ure
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Multi-Robot 3D Gas Distribution Mapping: Coordination, Information Sharing and Environmental Knowledge
Chiara Ercolani, Shashank Mahendra Deshmukh, Thomas Laurent Peeters, Alcherio Martinoli
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FourStr: When Multi-Sensor Fusion Meets Semi-Supervised Learning
bangquan xie, Liang Yang, Zongming Yang, Ailin Wei, Xiaoxiong weng, Bing Li
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Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
Diego Romeres, Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli
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Towards True Lossless Sparse Communication in Multi-Agent Systems
Seth Karten, Mycal Tucker, Siva Kailas, Katia Sycara
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Benchmarking Reinforcement Learning Techniques for Autonomous Navigation
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone
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Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways
Jin Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
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FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2
Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan, Simeon Oluwafunmilore Adebola, Michael Danielczuk, Victor Mayoral-Vilches, Nikhil Jha, Hugo Zhan, Edith LLontop, Derek Xu, Camilo Buscaron, John Kubiatowicz, Ion Stoica, Joseph E. Gonzalez, Ken Goldberg
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Demonstration-Bootstrapped Autonomous Practicing Via Multi-Task Reinforcement Learning
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman
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Multiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand
Daniel Garces, Sushmita Bhattacharya, Stephanie Gil, Dimitri Bertsekas
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Experimental Validation of Functional Iterative Learning Control on a One-Link Flexible Arm
Sjoerd Drost, Pietro Pustina, Franco Angelini, Alessandro De Luca, Gerwin Smit, Cosimo Della Santina
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AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking
Sourish Ghosh, Jay Patrikar, Brady Moon, Milad Moghassem Hamidi, Sebastian Scherer
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Interpretable and Flexible Target-Conditioned Neural Planners for Autonomous Vehicles
Haolan Liu, Jishen Zhao, Liangjun Zhang
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Learning to View: Decision Transformers for Active Object Detection
Wenhao Ding, Majcherczyk Nathalie, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnab Sen
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A Stiffness-Changeable Soft Finger Based on Chain Mail Jamming
Zhengtao Hu, Abdullah Ahmed, Weiwei Wan, Tetsuyou Watanabe, Kensuke Harada
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A Social Referencing Disambiguation Framework for Domestic Service Robots
Kevin Fan, Melanie Jouaiti, Ali Noormohammadi-Asl, Kerstin Dautenhahn, Chrystopher Nehaniv
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Robust Imaging Sonar-Based Place Recognition and Localization in Underwater Environments
Ho Gyun Kim, Kang Gilhwan, Seokhwan Jeong, Seungjun Ma, Younggun Cho
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Learning to Forecast Aleatoric and Epistemic Uncertainties Over Long Horizon Trajectories
Aastha Acharya, Rebecca Russell, Nisar Ahmed
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LEMURS: Learning Distributed Multi-Robot Interactions
Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagues
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Untethered Robotic Millipede Driven by Low-Pressure Microfluidic Actuators for Multi-Terrain Exploration
Qi Shao,Xuguang Dong,Zhonghan Lin,Chao Tang,Hao Sun,Xin-Jun Liu,Huichan Zhao
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Morphological Characteristics That Enable Stable and Efficient Walking in Hexapod Robot Driven by Reflex-Based Intra-Limb Coordination
Wataru Sato, Jun Nishii, Mitsuhiro Hayashibe, Dai Owaki
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Learning Depth Completion of Transparent Objects Using Augmented Unpaired Data
Floris Marc Arden Erich, Bruno Leme, Noriaki Ando, Ryo Hanai, Yukiyasu Domae
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Generating Stable and Collision-Free Policies through Lyapunov Function Learning
Coulombe Alexandre, Hsiu-Chin Lin
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Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and 3-D Shape Planning
Yiang Lu, ruofeng wei, Bin LI, Wei Chen, Jianshu Zhou, Qi Dou, Dong Sun, Yunhui Liu
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User-Conditioned Neural Control Policies for Mobile Robotics
Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza
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Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
Se Hwan Jeon, Steve Heim, Charles Khazoom, Sangbae Kim
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Risk-Aware Submodular Optimization for Multi-Robot Coordination
Zhou, Lifeng,Tokekar, Pratap
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Training Efficient Controllers Via Analytic Policy Gradient
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
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Fusing Event-Based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning
Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges Gielen
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Start State Selection for Control Policy Learning from Optimal Trajectories
Christoph Zelch, Jan Peters, Oskar von Stryk
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CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion
Guillaume Bellegarda, Auke Ijspeert
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Automating Reinforcement Learning with Example-Based Resets
Jigang Kim, J. hyeon Park, Daesol Cho, H. Jin Kim
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Learning Modular Robot Visual-Motor Locomotion Policies
Julian Whitman, Howie Choset
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PedFormer: Pedestrian Behavior Prediction Via Cross-Modal Attention Modulation and Gated Multitask Learning
Amir Rasouli, Iuliia Kotseruba
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Immersive Demonstrations Are the Key to Imitation Learning
Kelin Li, Digby Chappell, Nicolas Rojas
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TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou
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SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments
Arec Jamgochian, Etienne Buehrle, Johannes Fischer, Mykel Kochenderfer
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Stereo Plane R-CNN: Accurate Scene Geometry Reconstruction Using Planar Segments and Camera-Agnostic Representation
Jan Wietrzykowski, Dominik Belter
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Predictive Runtime Verification of Skill-Based Robotic Systems Using Petri Nets
Baptiste Pelletier, Charles Lesire, Christophe Grand, David Doose, Mathieu ROGNANT
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Reinforced Learning for Label-Efficient 3D Face Reconstruction
Hoda Mohaghegh, Hossein Rahmani, Hamid Laga, Farid Boussaid, Mohammed Bennamoun
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Design of Fully Controllable and Continuous Programmable Surface Based on Machine Learning
Wang, Jue,Suo, Jiaqi,Chortos, Alex
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Contact Surface and Pose Recognition: Utilizing Multipole Magnetic Tactile Sensor with Meta Learning Model
Ziwei Xia, Bin Fang, Fuchun Sun, Huaping Liu, Wei Feng Xu, Ling Fu, yiyong yang
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