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587 result(s) for “Task Planning” Page 4 of 12
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A Generalized Framework for Concentric Tube Robot Design Using Gradient-Based Optimization
Lin, Jui-Te,Girerd, Cedric,Yan, Jiayao,Hwang, John T.,Morimoto, Tania K.
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Decentralised Active Perception in Continuous Action Spaces for the Coordinated Escort Problem
Rhett Hull, Ki Myung Brian Lee, Jennifer Wakulicz, Chanyeol Yoo, James McMahon, Bryan Clarke, Stuart David Anstee, Jijoong Kim, Robert Fitch
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Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception
Cheng-Chun Hsu, Zhenyu Jiang, Yuke Zhu
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Toward Efficient Physical and Algorithmic Design of Automated Garages
Teng Guo, Jingjin Yu
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Online Learning and Suppression of Vibration in Collaborative Robots with Power Tools
Gokhan Solak, Arash Ajoudani
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Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs
Jingyi Wang, JinFa Huang, Can Zhang, Zhidong Deng
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Distributionally Robust RRT with Risk Allocation
Kajsa Ekenberg, Venkatraman Renganathan, Bjorn Olofsson
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HALO: Hazard-Aware Landing Optimization for Autonomous Systems
Christopher Hayner, Samuel Buckner, Daniel Broyles, Evelyn Madewell, Karen Leung, Behcet Acikmese
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TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
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NOPA: Neurally-Guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants
Xavier Puig, Tianmin Shu, Joshua Tenenbaum, Antonio Torralba
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Geometrically Constrained Trajectory Optimization for Multicopters
Zhepei Wang, Xin Zhou, Chao Xu, Fei Gao
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Covariance Steering for Uncertain Contact-rich Systems
Yuki Shirai, Devesh Jha, Arvind Raghunathan
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TTCDist: Fast Distance Estimation from an Active Monocular Camera Using Time-To-Contact
Levi Burner, Nitin Sanket, Cornelia Fermuller, Yiannis Aloimonos
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TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving
Zihao WEN, Yifan ZHANG, Xinhong Chen, Jianping Wang
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Online Tool Selection with Learned Grasp Prediction Models
Rohanimanesh Khashayar, Jacob Metzger, William Richards, Aviv Tamar
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KubeROS: A Unified Platform for Automated and Scalable Deployment of ROS2-Based Multi-Robot Applications
Yongzhou Zhang, Christian Wurll, Björn Hein
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Robotic Navigation Autonomy for Subretinal Injection Via Intelligent Real-Time Virtual iOCT Volume Slicing
Shervin Dehghani, Michael Sommersperger, Peiyao Zhang, Alejandro Martin-Gomez, Benjamin Busam, Peter Gehlbach, Nassir Navab, M. Ali Nasseri, Ioan Iulian Iordachita
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Interaction Control of a Robotic Manipulator with the Surface of Deformable Object
Athanasios Dometios, Costas S. Tzafestas
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Efficient and Hybrid Decoder for Local Map Construction in Bird's-Eye-View
Kun Tian, Yun Ye, Zheng Zhu, Peng Li, Guan Huang
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DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles
Yongqian Xiao, Xinglong Zhang, Xin Xu, Lu Yang, Junxiang Li
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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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Decision Diagrams As Plans: Answering Observation-Grounded Queries
Dylan Shell, Jason O'Kane
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Adaptive Constrained Kinematic Control Using Partial or Complete Task-Space Measurements
Murilo Marques Marinho, Bruno Vilhena Adorno
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Communicating Inferred Goals with Passive Augmented Reality and Active Haptic Feedback
James Mullen, Josh Mosier, Sounak Chakrabarti, Anqi Chen, Tyler White, Dylan Losey
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Task-Oriented Stiffness Setting for a Variable Stiffness Hand
Ana Elvira Huezo Martin, Ashok M. Sundaram, Werner Friedl, Virginia Ruiz Garate, Maximo A. Roa
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Two-Stage Grasping: A New Bin Picking Framework for Small Objects
Hanwen Cao, Jianshu Zhou, Rui Cao, Yichuan Li, Qi Dou, Yunhui Liu
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Task-Space Clustering for Mobile Manipulator Task Sequencing
Quang-Nam Nguyen, Nicholas Adrian, Quang-Cuong Pham
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Reinforcement Learning-Based Optimal Multiple Waypoint Navigation
Christos Vlachos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
Stefano Pini, Christian Perone, Aayush Ahuja, Ana Sofia Rufino Ferreira, Moritz Niendorf, Sergey Zagoruyko
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Contingency-Aware Task Assignment and Scheduling for Human-Robot Teams
Neel Dhanaraj, Santosh Varadanahalli Narayan, Stefanos Nikolaidis, Satyandra K. Gupta
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Hybrid SUSD-Based Task Allocation for Heterogeneous Multi-Robot Teams
Shengkang Chen, Tony X. Lin, Said Al-Abri, Ronald Arkin, Fumin Zhang
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A Task Allocation Framework for Human Multi-Robot Collaborative Settings
Martina Lippi, Paolo Di Lillo, Alessandro Marino
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Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abhish Khanal, Gregory Stein
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Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka
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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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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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Pick2Place: Task-Aware 6DoF Grasp Estimation Via Object-Centric Perspective Affordance
Zhanpeng He, Nikhil Chavan-Dafle, Jinwook Huh, Shuran Song, Volkan Isler
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Task-Driven Graph Attention for Hierarchical Relational Object Navigation
Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martín-Martín, Ruohan Zhang, Li Fei-Fei, Jiajun Wu
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RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments
Aakriti Agrawal, Amrit Singh Bedi, Dinesh Manocha
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Augmented Reality-Assisted Robot Learning Framework for Minimally Invasive Surgery Task
Junling Fu, Maria Chiara Palumbo, Elisa Iovene, Qingsheng liu, Ilaria Burzo, Alberto Redaelli, Giancarlo Ferrigno, Elena De Momi
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Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Tao Huang, Kai Chen, Bin LI, Yunhui Liu, Qi Dou
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Interpretable and Flexible Target-Conditioned Neural Planners for Autonomous Vehicles
Haolan Liu, Jishen Zhao, Liangjun Zhang
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SAMLoc: Structure-Aware Constraints with Multi-Task Distillation for Long-Term Visual Localization
Jian Ning, Yunzhou Zhang, Xinge Zhao, Sonya Coleman, Kunmo Li, Dermot Kerr
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BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, Song Han
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OpTaS: An Optimization-based Task Specification Library for Trajectory Optimization and Model Predictive Control
Christopher Edwin Mower, Joao Moura, Nazanin Zamani Behabadi, Sethu Vijayakumar, Tom Vercauteren, Christos Bergeles
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Versatile Real-Time Motion Synthesis Via Kino-Dynamic MPC with Hybrid-Systems DDP
He Li, Tingnan Zhang, Wenhao Yu, Patrick M. Wensing
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Practical Visual Deep Imitation Learning Via Task-Level Domain Consistency
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
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Learning Performance Graphs from Demonstrations Via Task-Based Evaluations
Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
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Contact Based Turning Gait of a Novel Legged-Wheeled Quadruped
Alper Yeldan, Abhimanyu Arora, Gim Song Soh
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Intuitive Telemanipulation of Hyper-Redundant Snake Robots within Locomotion and Reorientation using Task-Priority Inverse Kinematics
Tim-Lukas Habich, Melvin Hueter, Moritz Schappler, Svenja Spindeldreier
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