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1632 result(s) for “Robust/Adaptive Control of Robotic Systems” Page 31 of 33
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How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability
Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix Sanchez, John G. Rogers III, Sebastian Scherer
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Zero-Shot Object Goal Visual Navigation
Qianfan Zhao, Lu Zhang, Bin He, Hong Qiao, Zhiyong Liu
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Neural Implicit Surface Reconstruction Using Imaging Sonar
Mohamad Qadri, Michael Kaess, Ioannis Gkioulekas
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Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps
Sudeep Dasari, Abhinav Gupta, Vikash Kumar
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Streaming LifeLong Learning with Any-Time Inference
Soumya Banerjee, Vinay Kumar Verma, Vinay Namboodiri
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Deep Reinforcement Learning Based Personalized Locomotion Planning for Lower-Limb Exoskeletons
Javad K. Mehr, Edward Guo, Mojtaba Akbari, Vivian K. Mushahwar, Mahdi Tavakoli
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ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
Nicola Agostino Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale
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Learning to Explore Informative Trajectories and Samples for Embodied Perception
Ya Jing, Tao Kong
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Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles
Sushant Veer, Karen Leung, Ryan Cosner, Yuxiao Chen, Peter Karkus, Marco Pavone
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FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow
Wenchao Ding, Jieru Zhao, Yubin Chu, Haihui Huang, Tong Qin, Chunjing XU, Yuxiang Guan, Zhongxue Gan
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Unidirectional-Road-Network-Based Global Path Planning for Cleaning Robots in Semi-Structured Environments
Yong Li, Hui Cheng
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D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage
Vishnu Sharma, Lifeng Zhou, Pratap Tokekar
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Safeguarding Learning-Based Planners under Motion and Sensing Uncertainties Using Reachability Analysis
Akshay Shetty, Adam Dai, Alexandros Tzikas, Grace Gao
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A System for Generalized 3D Multi-Object Search
Kaiyu Zheng, Anirudha Paul, Stefanie Tellex
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DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion
Mohamed Nagy, Majid Khonji, Jorge Dias, Sajid Javed
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A Probabilistic Rotation Representation for Symmetric Shapes with an Efficiently Computable Bingham Loss Function
Hiroya Sato, Takuya Ikeda, Koichi Nishiwaki
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RFFCE: Residual Feature Fusion and Confidence Evaluation Network for 6DoF Pose Estimation
Qiwei Meng, shanshan ji, Shiqiang Zhu, Tianlei Jin, Te Li, Jason Gu, Wei Song
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GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics
Francesco Crocetti, Jeffrey Mao, Alessandro Saviolo, Gabriele Costante, Giuseppe Loianno
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Rethinking Feature Extraction: Gradient-Based Localized Feature Extraction for End-To-End Surgical Downstream Tasks
Winnie Pang, Mobarakol Islam, Sai Mitheran Jagadesh Kumar, Lalithkumar Seenivasan, Mengya Xu, Hongliang Ren
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Learning from Demonstrations Via Multi-Level and Multi-Attention Domain-Adaptive Meta-Learning
Ziye Hu, Zhongxue Gan, Wei Li, Weikun Guo, Xiang Gao, Jiwei Zhu
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Autotuning Symbolic Optimization Fabrics for Trajectory Generation
Max Spahn, Javier Alonso-Mora
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Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abhish Khanal, Gregory Stein
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Online Visual SLAM Adaptation against Catastrophic Forgetting with Cycle-Consistent Contrastive Learning
Sangni Xu, Hao Xiong, Qiuxia Wu, Tingting Yao, Zhihui Wang, Zhiyong Wang
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Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Tasks
Zhe Huang, Ye-Ji Mun, Xiang Li, Yiqing Xie, Ninghan Zhong, Weihang Liang, Junyi Geng, Tan Chen, Katherine Driggs-Campbell
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A Reachability Tree-Based Algorithm for Robot Task and Motion Planning
Kanghyun Kim, Daehyung Park, Min Jun Kim
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Gaussian Mixture Midway-Merge for Object SLAM with Pose Ambiguity
Jung, Jae Hyung,Park, Chan Gook
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Planning for Complex Non-Prehensile Manipulation among Movable Objects by Interleaving Multi-Agent Pathfinding and Physics-Based Simulation
Dhruv Mauria Saxena, Maxim Likhachev
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Decentralized Deadlock-Free Trajectory Planning for Quadrotor Swarm in Obstacle-Rich Environments
Jungwon Park, Inkyu Jang, H. Jin Kim
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Infrared Image Captioning with Wearable Device
Chenjun Gao, Yanzhi Dong, Xiaohu Yuan, Huaping Liu
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Robot Trust and Self-Confidence Based Role Arbitration Method for Physical Human-Robot Collaboration
Qiao Wang, Dikai Liu, Marc Carmichael, Chin-Teng Lin
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Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks
Zirui Zang, Hongrui Zheng, Johannes Betz, Rahul Mangharam
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GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
Alexander Cui, Sergio Casas Romero, Kelvin Wong, Simon Suo, Raquel Urtasun
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DS-K3DOM: 3-D Dynamic Occupancy Mapping with Kernel Inference and Dempster-Shafer Evidential Theory
Juyeop Han, Youngjae Min, Hyeok-Joo Chae, Byeongmin Jeong, Han-Lim Choi
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Enhanced GPIS Learning Based on Local and Global Focus Areas
Zuka Murvanidze, Marc Peter Deisenroth, Yasemin Bekiroglu
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DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning
I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung
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Monocular Visual-Inertial Depth Estimation
Diana Wofk, Rene Ranftl, Matthias Müller, Vladlen Koltun
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Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers
Yixuan Huang, Adam Conkey, Tucker Hermans
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PIEKF-VIWO: Visual-Inertial-Wheel Odometry Using Partial Invariant Extended Kalman Filter
Tong Hua, Tao Li, Ling Pei
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Predicting Motion Plans for Articulating Everyday Objects
Arjun Gupta, Max Shepherd, Saurabh Gupta
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Planning with Occluded Traffic Agents Using Bi-Level Variational Occlusion Models
Filippos Christianos, Peter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
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On Shortest Arc-To-Arc Dubins Path
Satyanarayana Gupta Manyam, David Casbeer
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Faster-LIO: Lightweight Tightly Coupled Lidar-Inertial Odometry Using Parallel Sparse Incremental Voxels
Chunge Bai, Tao Xiao, Yajie Chen, Haoqian Wang, Fang Zhang, Xiang Gao
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Inverse Reinforcement Learning Framework for Transferring Task Sequencing Policies from Humans to Robots in Manufacturing Applications
Omey Mohan Manyar, Zachary McNulty, Stefanos Nikolaidis, Satyandra K. Gupta
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S∗: On Safe and Time Efficient Robot Motion Planning
Riddhiman Laha, Wenxi Wu, Ruiai Sun, Nico Mansfeld, Luis Felipe Cruz Figueredo, Sami Haddadin
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Anomaly Detection Based Robust Autonomous Navigation
Kefan Jin, Mu Fun, Xingyao Han, Guangming Wang, Zhe Liu
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Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Cheng Liu, Erik-Jan van Kampen, Guido de Croon
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D2NT: A High-Performing Depth-to-Normal Translator
Yi Feng, Bohuan Xue, Ming Liu, Qijun Chen, Rui Fan
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Explainable Action Advising for Multi-Agent Reinforcement Learning
Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia Sycara
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Distributionally Safe Path Planning: Wasserstein Safe RRT
Paul Lathrop, Beth Boardman, Sonia Martinez
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Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-Based Occupancy Mapping
Duong, Thai,Yip, Michael C.,Atanasov, Nikolay
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