Research Analyzer

ICRA 2023

1655 papers · 0 AI summaries · 2023

1655 papers Page 9 of 34
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DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints Using Attention-Based Generative Adversarial Network
Payam Nikdel, Mohammad Mahdavian, Mo Chen
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DNN-Based Predictive Model for a Batoid-Inspired Soft Robot
Guangtong Li, Thileepan Stalin, TRUONG VAN TIEN, Pablo Valdivia y Alvarado
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DOTIE - Detecting Objects through Temporal Isolation of Events Using a Spiking Architecture
Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy
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DQN-Based On-Line Path Planning Method for Automatic Navigation of Miniature Robots
Jialin JIANG, Lidong Yang, Li Zhang
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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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DTact: A Vision-Based Tactile Sensor That Measures High-Resolution 3D Geometry Directly from Darkness
CHANGYI LIN, Ziqi Lin, Shaoxiong Wang, Huazhe Xu
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Data-Association-Free Landmark-based SLAM
Yihao Zhang, Odin Aleksander Severinsen, John Leonard, Luca Carlone, Kasra Khosoussi
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Data-Driven Estimation of Forces Along the Backbone of Concentric Tube Continuum Robots
Heiko Donat, Pouya Mohammadi, Jochen J. Steil
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Data-Driven Iterative Optimal Control for Switched Dynamical Systems
Yuqing Chen, Yangzhi Li, David Braun
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Data-Driven Loop Closure Detection in Bathymetric Point Clouds for Underwater SLAM
Jiarui Tan, Ignacio Torroba Balmori, Yiping Xie, John Folkesson
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Data-Driven Optimal Control under Safety Constraints Using Sparse Koopman Approximation
Hongzhe Yu, Joseph Moyalan, Umesh Vaidya, Yongxin Chen
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Data-Driven Risk-Sensitive Model Predictive Control for Safe Navigation in Multi-Robot Systems
Atharva Navsalkar, Ashish Hota
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Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots
John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone
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Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding
Takeru Oba, Norimichi UKITA
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Data-Driven Variable Impedance Control of a Powered Knee-Ankle Prosthesis for Adaptive Speed and Incline Walking
T. Kevin Best, Cara Gonzalez Welker, Elliott Rouse, Robert D. Gregg
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Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees
Ewerton Vieira, Aravind Sivaramakrishnan, Yao Song, Edgar Granados, Marcio Gameiro, Konstantin Mischaikow, Ying Hung, Kostas E. Bekris
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Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification
Jiayi Pan, Glen Chou, Dmitry Berenson
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Data-Efficient Non-Parametric Modelling and Control of an Extensible Soft Manipulator
Mohammadreza Kasaei, Keyhan Kouhkiloui Babarahmati, Zhibin Li, Mohsen Khadem
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DeXtreme: Transfer of Agile In-Hand Manipulation from Simulation to Reality
Ankur Handa, Arthur Allshire, Viktor Makoviichuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Zhurkevich Alexander, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State
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Dealing with Sparse Rewards in Continuous Control Robotics Via Heavy-Tailed Policy Optimization
SOURADIP CHAKRABORTY, Amrit Singh Bedi, Kasun Weerakoon Kulathun Mudiyanselage, Prithvi Poddar, Alec Koppel, Pratap Tokekar, Dinesh Manocha
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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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Decentralized Deadlock-Free Trajectory Planning for Quadrotor Swarm in Obstacle-Rich Environments
Jungwon Park, Inkyu Jang, H. Jin Kim
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Decentralized Multi-Agent Exploration with Limited Inter-Agent Communications
Hans He, Alec Koppel, Amrit Singh Bedi, Daniel Stilwell, Mazen Farhood, Benjamin Biggs
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Decision Diagrams As Plans: Answering Observation-Grounded Queries
Dylan Shell, Jason O'Kane
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Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation
Kai Lu, Bo Yang, Bing Wang, Andrew Markham
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Deep IMU Bias Inference for Robust Visual-Inertial Odometry with Factor Graphs
Russell Buchanan, Varun Agrawal, Marco Camurri, Frank Dellaert, Maurice Fallon
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Deep Interactive Full Transformer Framework for Point Cloud Registration
Guangyan Chen, Meiling Wang, Qingxiang Zhang, Li Yuan, TONG LIU, Yufeng Yue
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Deep Learning Reactive Robotic Grasping with a Versatile Vacuum Gripper
Zhang, Hui,Peeters, Jef,Demeester, Eric,Kellens, Karel
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Deep Learning on Home Drone: Searching for the Optimal Architecture
Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman
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Deep Learning-Aided Synthetic Airspeed Estimation of UAVs for Analytical Redundancy with a Temporal Convolutional Network
HYUNGTAE LIM, Han-seok Ryu, Matthew Rhudy, Dongjin Lee, Dongjin Jang, Changho LEE, Youngmin Park, Wonkeun Youn, Hyun Myung
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Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception
Peng Gao, Qingzhao Zhu, Hongsheng Lu, Chuang Gan, Hao Zhang
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Deep Metric Learning for Visual Servoing: When Pose and Image Meet in Latent Space
Samuel Felton, Elisa Fromont, Eric Marchand
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Deep Neural Network Architecture Search for Accurate Visual Pose Estimation Aboard Nano-UAVs
Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi
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Deep Occupancy-Predictive Representations for Autonomous Driving
Eivind Meyer, Lars Frederik Peiss, Matthias Althoff
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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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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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Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters
Wei Wang, Xiaojing Cao, Alejandro Gonzalez-Garcia, Lianhao Yin, Niklas Hagemann, Yuanyuan Qiao, Carlo Ratti, Daniela Rus
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Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
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Deep Reinforcement Learning for Decentralized Multi-Robot Exploration with Macro Actions
Aaron Hao Tan, Federico Pizarro Bejarano, Yuhan Zhu, Richard Ren, Goldie Nejat
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Deep Underwater Monocular Depth Estimation with Single-Beam Echosounder
Haowen Liu, Monika Roznere, Alberto Quattrini Li
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Deep Unsupervised Visual Odometry Via Bundle Adjusted Pose Graph Optimization
Guoyu Lu
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DeepRING: Learning Roto-Translation Invariant Representation for LiDAR Based Place Recognition
Sha Lu, Xuecheng Xu, Li Tang, Rong Xiong, Yue Wang
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DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles Via Deep Learning Methods
Stewart Jamieson, Jonathan How, Yogesh Girdhar
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DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets
Isabella Huang, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Tucker Hermans, Dieter Fox
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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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Demonstration-Guided Optimal Control for Long-Term Non-Prehensile Planar Manipulation
Teng Xue, Hakan Girgin, Teguh Santoso Lembono, Sylvain Calinon
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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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Dense Depth Completion Based on Multi-Scale Confidence and Self-Attention Mechanism for Intestinal Endoscopy
Ruyu Liu, Zhengzhe Liu, Haoyu Zhang, Guodao Zhang, Zhigui Zuo, Weiguo Sheng
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DenseTact 2.0: Optical Tactile Sensor for Shape and Force Reconstruction
Won Kyung Do, Bianca Jurewicz, Monroe Kennedy
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Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles Using Density-Based Reachability
Laura Lützow, Yue Meng, Andres Chavez Armijos, Chuchu Fan
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