Research Analyzer

ICRA 2023

1655 papers · 0 AI summaries · 2023

1655 papers Page 18 of 34
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Kinematic Analysis and Design of a Novel (6+3)-DoF Parallel Robot with Fixed Actuators
Arda Yigit, David Breton, Zhou Zhou, Thierry Laliberte, Clement Gosselin
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Kinematic Redundancy Analysis for (2n+1)R Circular Manipulators
Zijia Li, Mathias Brandstötter, Michael Hofbaur
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Kinetostatic Modeling of Tendon-Driven Parallel Continuum Robots
Sven Lilge, Jessica Burgner-Kahrs
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Kinodynamic Rapidly-exploring Random Forest for Rearrangement-Based Nonprehensile Manipulation
Kejia Ren, Podshara Chanrungmaneekul, Lydia Kavraki, Kaiyu Hang
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Knowledge Distillation for Feature Extraction in Underwater VSLAM
Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu
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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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L-C*: Visual-inertial Loose Coupling for Resilient and Lightweight Direct Visual Localization
Shuji Oishi, Kenji Koide, Masashi Yokozuka, Atsuhiko Banno
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L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras
Kevin Ta, David Bruggemann, Tim Broedermann, Christos Sakaridis, Luc Van Gool
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LAPTNet-FPN: Multi-Scale LiDAR-Aided Projective Transform Network for Real Time Semantic Grid Prediction
Manuel Diaz-Zapata, David Sierra-Gonzalez, Ozgur Erkent, Christian Laugier, Dibangoye Jilles
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LATITUDE: Robotic Global Localization with Truncated Dynamic Low-Pass Filter in City-Scale NeRF
Zhenxin Zhu, yuantao Chen, Zirui Wu, Chao Hou, Yongliang Shi, Chuxuan Li, Pengfei Li, Guyue Zhou, Hao Zhao
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LATTE: LAnguage Trajectory TransformEr
Arthur Fender Coelho Bucker, Luis Felipe Cruz Figueredo, Sami Haddadin, Ashish Kapoor, shuang ma, Sai Vemprala, Rogerio Bonatti
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LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations
Kong Yao Chee, M. Ani Hsieh
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LEMURS: Learning Distributed Multi-Robot Interactions
Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagues
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LES: Locally Exploitative Sampling for Robot Path Planning
Sagar Joshi, Seth Hutchinson, Panagiotis Tsiotras
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LGCNet: Feature Enhancement and Consistency Learning Based on Local and Global Coherence Network for Correspondence Selection
Tzu-Han Wu, Kuan-Wen Chen
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LODE: Locally Conditioned Eikonal Implicit Scene Completion from Sparse LiDAR
Pengfei Li, Ruowen Zhao, Yongliang Shi, Hao Zhao, Jirui Yuan, Guyue Zhou, Ya-Qin Zhang
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Large-Dimensional Multibody Dynamics Simulation Using Contact Nodalization and Diagonalization
Lee, Jeongmin,Lee, Minji,Lee, Dongjun
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Large-Scale Radar Localization Using Online Public Maps
Ziyang Hong, Yvan R. Petillot, Kaicheng Zhang, Shida Xu, Sen Wang
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Large-Workspace Polyarticulated Micro-Structures Based-On Folded Silica for Tethered Nanorobotics
Yuning Lei, Cédric Clévy, Jean-Yves Rauch, Philippe LUTZ
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Learnable Tegotae-Based Feedback in CPGs with Sparse Observation Produces Efficient and Adaptive Locomotion
Christopher Herneth, Mitsuhiro Hayashibe, Dai Owaki
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Learned Risk Metric Maps for Kinodynamic Systems
Ross Allen, Wei Xiao, Daniela Rus
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Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects
Giulio Schiavi, Paula Wulkop, Giuseppe Maria Rizzi, Lionel Ott, Roland Siegwart, Jen Jen Chung
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Learning Agile Flight Maneuvers: Deep SE(3) Motion Planning and Control for Quadrotors
Yixiao Wang, Bingheng Wang, Shenning Zhang, Han Wei Sia, Lin Zhao
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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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Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abhish Khanal, Gregory Stein
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Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs
Junchi Liang, Abdeslam Boularias
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Learning Continuous Control Policies for Information-Theoretic Active Perception
Pengzhi Yang, YUHAN LIU, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
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Learning Decoupled Multi-touch Force Estimation, Localization and Stretch for Soft Capacitive E-skin
Abu Bakar Dawood, Claudio Coppola, Kaspar Althoefer
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Learning Deep Neural Network Controller for Path Following of Unicycle Robots
Priyabrata Saha, Luis Guerrero-Bonilla, Magnus Egerstedt, Saibal Mukhopadhyay
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Learning Deposition Policies for Fused Multi-Material 3D Printing
Kang Liao, Thibault Tricard, Michal Piovarci, Hans-Peter Seidel, Vahid Babaei
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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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Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps
Sudeep Dasari, Abhinav Gupta, Vikash Kumar
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Learning Efficient Policies for Picking Entangled Wire Harnesses: An Approach to Industrial Bin Picking
Zhang, Xinyi,Domae, Yukiyasu,Wan, Weiwei,Harada, Kensuke
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Learning Exploration Strategies to Solve Real-World Marble Runs
Alisa Allaire, Christopher Atkeson
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Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning
Joaquim Ortiz-Haro, Jung-Su Ha, Danny Driess, Erez Karpas, Marc Toussaint
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Learning Food Picking without Food: Fracture Anticipation by Breaking Reusable Fragile Objects
Rinto Yagawa, Reina Ishikawa, Masashi Hamaya, Kazutoshi Tanaka, Atsushi Hashimoto, Hideo Saito
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Learning Generalizable Pivoting Skills
Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres
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Learning Height for Top-Down Grasps with the DIGIT Sensor
Thais Bernardi, Yoann Fleytoux, Jean-Baptiste Mouret, Serena Ivaldi
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Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion
Siddhant Gangapurwala, luigi campanaro, Ioannis Havoutis
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Learning Modular Robot Visual-Motor Locomotion Policies
Julian Whitman, Howie Choset
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Learning Neuro-symbolic Programs for Language Guided Robot Manipulation
Namasivayam Kalithasan, Himanshu Gaurav Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul
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Learning Perception-Aware Agile Flight in Cluttered Environments
Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza
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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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Learning Performance Graphs from Demonstrations Via Task-Based Evaluations
Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
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Learning Personalised Human Sit-To-Stand Motion Strategies Via Inverse Musculoskeletal Optimal Control
Daniel F. N. Gordon, Andreas Christou, Theodoros Stouraitis, Michael Gienger, Sethu Vijayakumar
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Learning Pre-Grasp Manipulation of Flat Objects in Cluttered Environments Using Sliding Primitives
Jiaxi Wu, haoran Wu, Shanlin Zhong, Qu Qin Sun, Yinlin Li
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Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving
Ryan Cosner, Yuxiao Chen, Karen Leung, Marco Pavone
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Learning Reward Functions for Robotic Manipulation by Observing Humans
Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid
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Learning Risk-Aware Costmaps Via Inverse Reinforcement Learning for Off-Road Navigation
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian Scherer
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Learning Robotic Cutting from Demonstration: Non-Holonomic DMPs Using the Udwadia-Kalaba Method
Arturas Straizys, Michael Burke, Subramanian Ramamoorthy
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