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2315 result(s) for “Integrated Planning and Learning” Page 1 of 47
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Integrated Data-Driven Inference and Planning-Based Human Motion Prediction for Safe Human-Robot Interaction
Youngim Nam, Cheolhyeon Kwon
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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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F3DMP: Foresighted 3D Motion Planning of Mobile Robots in Wild Environments
Andong Yang, Wei Li, Yu Hu
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LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation
Shuo Cheng, Danfei Xu
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On the Fly Robotic-Assisted Medical Instrument Planning and Execution Using Mixed Reality
Letian Ai, Yihao Liu, Mehran Armand, Amir Kheradmand, Alejandro Martin-Gomez
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Learning Terminal State of the Trajectory Planner: Application for Collision Scenarios of Autonomous Vehicles
Joonhee Lim, Kibeom Lee, Dongsuk Kum
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Robustified Time-optimal Collision-free Motion Planning for Autonomous Mobile Robots under Disturbance Conditions
Shuhao Zhang, Mathias Bos, Bastiaan Vandewal, Wilm Decré, Joris Gillis, Jan Swevers
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Integrating Robot Assignment and Maintenance Management: A Multi-Agent Reinforcement Learning Approach for Holistic Control
Kshitij Bhatta, Qing Chang
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Decentralized Multi-Agent Trajectory Planning in Dynamic Environments with Spatiotemporal Occupancy Grid Maps
Siyuan Wu, Gang Chen, Moji Shi, Javier Alonso-Mora
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Dual-Modal Tactile E-Skin: Enabling Bidirectional Human-Robot Interaction Via Integrated Tactile Perception and Feedback
Shilong Mu, Runze Zhao, Zenan ZenanLin, Yan Huang, Shoujie Li, Chenchang Li, Xiao-Ping Zhang, Wenbo Ding
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Efficient Clothoid Tree-Based Local Path Planning for Self-Driving Robots
Minhyeong Lee, Dongjun Lee
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Accelerating Long-Horizon Planning with Affordance-Directed Dynamic Grounding of Abstract Strategies
Khen Elimelech, Zachary Kingston, Wil Thomason, Vardi Moshe, Lydia Kavraki
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Safe POMDP Online Planning Via Shielding
Shili Sheng, David Parker, Lu Feng
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Robot-Assisted Navigation for Visually Impaired through Adaptive Impedance and Path Planning
Pietro Balatti, Idil Ozdamar, Doganay Sirintuna, Luca Fortini, Mattia Leonori, Juan M. Gandarias, Arash Ajoudani
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Navigable Area Detection and Perception-Guided Model Predictive Control for Autonomous Navigation in Narrow Waterways
Jonghwi Kim, Changyu Lee, Dongha Chung, Jinwhan Kim
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PROTAMP-RRT: A Probabilistic Integrated Task and Motion Planner Based on RRT
Alessio Saccuti, Riccardo Monica, Jacopo Aleotti
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Semiautonomous Precision Pruning of Upright Fruiting Offshoot Orchard Systems: An Integrated Approach
Alexander You, Nidhi Parayil, Gopala Krishna Josyula, Uddhav Bhattarai, Ranjan Sapkota, Dawood Ahmed, Matthew Whiting, Manoj Karkee, Cindy Grimm, Joseph Davidson
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Takeoff of a 2.1g Fully Untethered Tailless Flapping-Wing Micro Aerial Vehicle with Integrated Battery
Takashi Ozaki, Norikazu Ohta, Tomohiko Jimbo, Kanae Hamaguchi
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AYDIV: Adaptable Yielding 3D Object Detection Via Integrated Contextual Vision Transformer
Tanmoy Dam,Sanjay Bhargav Dharavath,Sameer Alam,Nimrod Lilith,Supriyo Chakraborty,Mir Feroskhan
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GICI-LIB: A GNSS/INS/Camera Integrated Navigation Library
Cheng Chi, Xin Zhang, JIAHUI LIU, Yulong SUN, Zihao Zhang, Xingqun ZHAN
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An Integrated Position-Velocity-Force Method for Safety-Enhanced Shared Control in Robot-Assisted Surgical Cutting
Xilin Xiao, Xiaojian Li, Shi Yudong, Jin Fang, Ling Li, Pengfei He, Hangjie Mo
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Compliant Robotic Gripper with Integrated Ripeness Sensing for Blackberry Harvesting
Arvyn De, Divyam Kumar, Ian Kwuan, Alex Qiu, Ai-Ping Hu
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Enabling Large-Scale Heterogeneous Collaboration with Opportunistic Communications
Fernando Cladera, Zachary Ravichandran, Ian Miller, M. Ani Hsieh, Camillo Jose Taylor, Vijay Kumar
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Vision-Based Wearable Steering Assistance for People with Impaired Vision in Jogging
Xiaotong Liu, Binglu Wang, Zhijun Li
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Integrated Magnetic Location Sensing and Actuation of Steerable Robotic Catheters for Peripheral Arterial Disease Treatment
Jingjie Wu, Kevin Yu, Ithza Lopez, Alexa Aguilar Izquierdo, Hamidreza Saber, Farshid Alambeigi, Lei Zhou
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RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
Benjamin Alt, Florian Stoeckl, Silvan Müller, Christopher Braun, Julian Raible, Saad Alhasan, Oliver Rettig, Lukas Daniel Ringle, Darko Katic, Rainer Jäkel, Michael Beetz, Marcus Strand, Marco F. Huber
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Hybrid Trajectory Optimization for Autonomous Terrain Traversal of Articulated Tracked Robots
Zhengzhe Xu, Yanbo Chen, Zhuozhu Jian, Junbo Tan, xueqian WANG, bin LIANG
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Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions
Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, Johann Marius Zöllner
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The Fractal Hand-II: Reviving a Classic Mechanism for Contemporary Grasping Challenges
Malcolm Tisdale, Joel Burdick
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A Tube-Based Reinforcement Learning Approach for Optimal Motion Planning in Unknown Workspaces
Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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Motion Planning As Online Learning: A Multi-Armed Bandit Approach to Kinodynamic Sampling-Based Planning
Marco Faroni, Dmitry Berenson
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QuadricsNet: Learning Concise Representation for Geometric Primitives in Point Clouds
Ji Wu, Huai Yu, Wen Yang, Gui-Song Xia
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Learning-Based Motion Planning with Mixture Density Networks
Yinghan Wang, Jianping He, Xiaoming Duan
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Co-Learning Planning and Control Policies Constrained by Differentiable Logic Specifications
Zikang Xiong, Daniel Lawson, Joe Kurian Eappen, Ahmed H. Qureshi, Suresh Jagannathan
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Pedestrian Trajectory Prediction Using Dynamics-Based Deep Learning
Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
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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
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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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Traffic Flow Learning Enhanced Large-Scale Multi-Robot Cooperative Path Planning Under Uncertainties
Xingyao Han, Siyuan Chen, Xinye Xiong, Qiming Liu, Shunbo Zhou, Heng Zhang, Zhe Liu
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Perception-And-Energy-Aware Motion Planning for UAV Using Learning-Based Model under Heteroscedastic Uncertainty
Reiya Takemura, Genya Ishigami
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Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning
Hao Zhang, Hao Wang, Zhen Kan
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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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Unsupervised Learning of Neuro-Symbolic Rules for Generalizable Context-Aware Planning in Object Arrangement Tasks
Siddhant Sharma, Shreshth Tuli, Rohan Paul
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Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine
Dvij Kalaria, Qin Lin, John M. Dolan
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Deep Learning Based 6-DoF Antipodal Grasp Planning from Point Cloud in Random Bin-Picking Task Using Single-View
Tat Hieu Bui, Yeong Gwang Son, Seung Jae moon, Quang Huy Nguyen, Issac Rhee, Juyong Hong, Hyouk Ryeol Choi
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Towards Learning-Based Planning: The nuPlan Benchmark for Real-World Autonomous Driving
Napat Karnchanachari, Dimitris Geromichalos, Kok Seang Tan, Nanxiang Li, Christopher Eriksen, Shakiba Yaghoubi, Noushin Mehdipour, Gianmarco Bernasconi, Whye Kit Fong, Yiluan Guo, Holger Caesar
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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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ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch
Zhengrong Xue, Han Zhang, Cheng Jingwen, Zhengmao He, Yuanchen Ju, Changyi Lin, Gu Zhang, Huazhe Xu
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Chance-Aware Lane Change with High-Level Model Predictive Control through Curriculum Reinforcement Learning
Yubin Wang, Yulin Li, Zengqi Peng, Hakim Ghazzai, Jun Ma
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Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference-Aligned Path Planning
Haresh Karnan, Elvin Yang, Garrett Warnell, Peter Stone, Joydeep Biswas
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Learning Risk-Aware Quadrupedal Locomotion Using Distributional Reinforcement Learning
Lukas Schneider, Jonas Frey, Takahiro Miki, Marco Hutter
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