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ICRA 2023

1655 papers · 0 AI summaries · 2023

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1634 result(s) for “Grippers and Other End-Effectors” Page 31 of 33
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Detecting Spatio-Temporal Relations by Combining a Semantic Map with a Stream Processing Engine
Lennart Niecksch, Henning Deeken, Thomas Wiemann
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GRM: Gradient Rectification Module for Visual Place Retrieval
BOSHU LEI, WENJIE DING, Limeng Qiao, Xi Qiu
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CIOT: Constraint-Enhanced Inertial-Odometric Tracking for Articulated Dump Trucks in GNSS-Denied Mining Environments
David Benz, Jonathan Thomas Weseloh, Dirk Abel, Heike Vallery
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SoLo T-DIRL: Socially-Aware Dynamic Local Planner Based on Trajectory-Ranked Deep Inverse Reinforcement Learning
Yifan Xu, Theodor Chakhachiro, Tribhi Kathuria, Maani Ghaffari
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Autotuning Symbolic Optimization Fabrics for Trajectory Generation
Max Spahn, Javier Alonso-Mora
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Distributed Barrier Function-Enabled Human-In-The-Loop Control for Multi-Robot Systems
Victor Nan Fernandez-Ayala, Xiao Tan, Dimos V. Dimarogonas
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Efficient Planar Pose Estimation Via UWB Measurements
Haodong JIANG, Wentao Wang, yuan shen, Xinghan Li, Xiaoqiang Ren, Biqiang Mu, Junfeng Wu
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Improving the Generalizability of Trajectory Prediction Models with Frenét-Based Domain Normalization
Luyao YE, Zikang Zhou, Jianping Wang
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Relay Pursuit for Multirobot Target Tracking on Tile Graphs
Shashwata Mandal, Sourabh Bhattacharya
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Video Waterdrop Removal Via Spatio-Temporal Fusion in Driving Scenes
Qiang Wen, Yue Wu, Qifeng Chen
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Vitreoretinal Surgical Robotic System with Autonomous Orbital Manipulation Using Vector-Field Inequalities
Yuki Koyama, Murilo Marques Marinho, Kanako Harada
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Homography-Based Loss Function for Camera Pose Regression
Clémentin BOITTIAUX, Ricard Marxer, Claire Dune, Aurélien Arnaubec, Vincent HUGEL
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Completely Rational SO(n) Orthonormalization
Wu Jin, Soheil Sarabandi, Jianhao JIAO, Huaiyang Huang, Bohuan Xue, RUOYU GENG, Lujia Wang, Ming Liu
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Stochastic Traveling Salesperson Problem with Neighborhoods for Object Detection
Cheng Peng, Minghan Wei, Volkan Isler
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Environment Warped Gait Trajectory Optimization for Complex Terrains
Zherong Pan, Tan Chen, Xifeng Gao, Kui Wu
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Self-Supervised Learning of Action Affordances As Interaction Modes
Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg
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Induced Vertex Motion As a Performance Measure for Surgery in Confined Spaces
Neel Shihora, Nabil Simaan
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Foot Stepping Algorithm of Humanoids with Double Support Time Adjustment Based on Capture Point Control
Myeong-Ju Kim, Daegyu Lim, Gyeongjae Park, Jaeheung Park
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ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence
Dmitriy Rivkin, Gregory Dudek, Nikhil Rajiv Kakodkar, David Paul Meger, Oliver Limoyo, Michael Jenkin, Xue Liu, Francois Hogan
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Neural-Kalman GNSS/INS Navigation for Precision Agriculture
YAYUN DU, Swapnil Sayan Saha, Sandeep Sandha, Arthur Lovekin, Jason Wu, S. Siddharth, Mahesh Chowdhary, Mohammad Khalid Jawed, Mani Srivastava
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Developing Cooperative Policies for Multi-Stage Reinforcement Learning Tasks
Jordan Erskine, Christopher Lehnert
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Globally Guided Trajectory Planning in Dynamic Environments
Oscar de Groot, Laura Ferranti, Dariu Gavrila, Javier Alonso-Mora
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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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StereoVAE: A lightweight stereo-matching system using embedded GPUs
Chang Qiong, Li Xiang, Xu Xin, Xin Liu, Yun Li, Jun Miyazaki
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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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Portable Multi-Hypothesis Monte Carlo Localization for Mobile Robots
Alberto García, Francisco Martin Rico, Jose Miguel Guerrero, Francisco Javier Rodríguez Lera, Vicente Matellan
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A Probabilistic Model of Activity Recognition with Loose Clothing
Tianchen Shen, Irene Di Giulio, Matthew Howard
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Sequential Stochastic Multi-Task Assignment for Multi-Robot Deployment Planning
Colin Mitchell, Graeme Best, Geoffrey Hollinger
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Topological Trajectory Prediction with Homotopy Classes
Jennifer Wakulicz, Ki Myung Brian Lee, Teresa A. Vidal-Calleja, Robert Fitch
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Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA
Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
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Control of Shape Memory Alloy Actuator Via Electrostatic Capacitive Sensor for Meso-Scale Mirror Tilting System
Baekgyeom Kim, Doohoe Lee, Dongjin Kim, Seungyong Han, Daeshik Kang, Uikyum Kim, Je-Sung Koh
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Image Masking for Robust Self-Supervised Monocular Depth Estimation
Hemang Chawla, Kishaan Jeeveswaran, Elahe Arani, Bahram Zonooz
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One-Shot Reachability Analysis of Neural Network Dynamical Systems
Shaoru Chen, Victor Preciado, Mahyar Fazlyab
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SDF-Based Graph Convolutional Q-Networks for Rearrangement of Multiple Objects
Hogun Kee, Minjae Kang, Dohyeong Kim, JaeGoo Choy, Songhwai Oh
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Nerf2nerf: Pairwise Registration of Neural Radiance Fields
Leili Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi
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Task-Space Clustering for Mobile Manipulator Task Sequencing
Quang-Nam Nguyen, Nicholas Adrian, Quang-Cuong Pham
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FSG-Net: A Deep Learning Model for Semantic Robot Grasping through Few-Shot Learning
Leonardo Barcellona, Alberto Bacchin, Alberto Gottardi, Emanuele Menegatti, Stefano Ghidoni
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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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Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representation
Guilherme Henrique Galelli Christmann, Jonathan Hans Soeseno, Ying-Sheng Luo, Wei-Chao Chen
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Uncertainty-aware LiDAR Panoptic Segmentation
Kshitij Sirohi, Mohammad Sajad Marvi, Daniel Büscher, Wolfram Burgard
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A New Sensation: Digital Strain Sensing for Disturbance Detection in Flapping Wing Micro Aerial Vehicles
Regan Kubicek, Mahnoush Babaei, Alison Weber, Sarah Bergbreiter
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Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
Nicolai Dorka, Tim Welschehold, Joschka Boedecker, Wolfram Burgard
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EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics
Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, David Held, Zackory Erickson, Danica Kragic
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On the Utility of Buffers in Pick-N-Swap Based Lattice Rearrangement
Kai Gao, Jingjin Yu
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Optimizing Bipedal Locomotion for the 100m Dash with Comparison to Human Running
Devin Crowley, Jeremy Dao, Helei Duan, Kevin Green, Jonathan Hurst, Alan Fern
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Using Learning Curve Predictions to Learn from Incorrect Feedback
Taylor Kessler Faulkner, Andrea Lockerd Thomaz
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Adaptive Approximation of Dynamics Gradients Via Interpolation to Speed up Trajectory Optimisation
David Mackenzie Charles Russell, Rafael Papallas, Mehmet R Dogar
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Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
Tao Li, Haozhe Lei, Quanyan Zhu
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Low-Level Controller in Response to Changes in Quadrotor Dynamics
Jaekyung Cho, Chan Kim, Mohamed Khalid M Jaffar, Michael W. Otte, Seong-Woo Kim
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Error-Domain Conservativity Control to Transparently Increase the Stability Range of Time-Discretized Controllers
Michael Rothammer, Jee-Hwan Ryu
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