Research Analyzer

ICRA 2023

1655 papers · 0 AI summaries · 2023

1655 papers Page 28 of 34
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Safe Bipedal Path Planning via Control Barrier Functions for Polynomial Shape Obstacles Estimated Using Logistic Regression
Chengyang Peng, Octavian Donca, Guillermo Castillo, Ayonga Hereid
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Safe Control using Vision-based Control Barrier Function (V-CBF)
Hossein Abdi, Golnaz Raja, Reza Ghabcheloo
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Safe Model-Based Control from Signal Temporal Logic Specifications Using Recurrent Neural Networks
Wenliang Liu, Mirai Duintjer Tebbens Nishioka, Calin Belta
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Safe Operations of an Aerial Swarm Via a Cobot Human Swarm Interface
Sydrak Abdi, Derek Paley
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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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Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki
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Safe Self-Supervised Learning in Real of Visuo-Tactile Feedback Policies for Industrial Insertion
Letian Fu, Huang Huang, Lars Berscheid, Hui Li, Ken Goldberg, Sachin Chitta
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Safe and Distributed Multi-Agent Motion Planning under Minimum Speed Constraints
Inkyu Jang, Jungwon Park, H. Jin Kim
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Safe and Efficient Navigation in Extreme Environments Using Semantic Belief Graphs
Muhammad Fadhil Ginting, Sung-Kyun Kim, Oriana Peltzer, Joshua Ott, Sunggoo Jung, Mykel Kochenderfer, Ali-akbar Agha-mohammadi
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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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Safety Evaluation of Robot Systems via Uncertainty Quantification
Woo-Jeong Baek, Torsten Kroeger
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Safety and Efficiency in Robotics: The Control Barrier Functions Approach
Federica Ferraguti, Chiara Talignani Landi, Andrew Singletary, Hsien-Chung Lin, Aaron Ames, Cristian Secchi, Marcello Bonfe
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Safety under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions
Mitchell Black, Georgios Fainekos, Bardh Hoxha, Danil Prokhorov, Dimitra Panagou
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Safety-Constrained Policy Transfer with Successor Features
Zeyu Feng, Bowen Zhang, Jianxin Bi, Harold Soh
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Safety-Critical Controller Verification Via Sim2Real Gap Quantification
Prithvi Akella, Wyatt Ubellacker, Aaron Ames
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Safety-Critical Ergodic Exploration in Cluttered Environments Via Control Barrier Functions
Cameron Lerch, Dayi, E Dong, Ian Abraham
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Safety-Guaranteed Skill Discovery for Robot Manipulation Tasks
Sunin Kim, Jaewoon Kwon, Taeyoon Lee, Younghyo Park, JULIEN PEREZ
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Sample Efficient Dynamics Learning for Symmetrical Legged Robots: Leveraging Physics Invariance and Geometric Symmetries
Jee-eun Lee, Jaemin Lee, Tirthankar Bandyopadhyay, Luis Sentis
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Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR
Sangyun Shin, Stuart Golodetz, Madhu Vankadari, zhou kaichen, Andrew Markham, Niki Trigoni
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Sample-Driven Connectivity Learning for Motion Planning
Sihui Li, Neil Dantam
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Sample-Efficient Goal-Conditioned Reinforcement Learning Via Predictive Information Bottleneck for Goal Representation Learning
qiming zou, Einoshin Suzuki
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Sampling-Based Path Planning under Temporal Logic Constraints with Real-Time Adaptation
Yizhou Chen, Ruoyu Wang, Xinyi Wang, Ben M. Chen
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Satellite Image Based Cross-View Localization for Autonomous Vehicle
Shan Wang, Yanhao Zhang, Ankit Vora, Akhil Perincherry, Hongdong Li
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Scalable Task-Driven Robotic Swarm Control Via Collision Avoidance and Learning Mean-Field Control
Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl
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Scene-level Point Cloud Colorization with Semantics-and-geometry-aware Networks
Rongrong Gao, Tian-Zhu Xiang, Chenyang LEI, Jaesik Park, Qifeng Chen
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SceneCalib: Automatic Targetless Calibration of Cameras and Lidars in Autonomous Driving
Ayon Sen, Gang Pan, Anton Mitrokhin, Ashraful Islam
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Search Algorithms for Multi-Agent Teamwise Cooperative Path Finding
Zhongqiang Ren, Chaoran ZHANG, Sivakumar Rathinam, Howie Choset
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Security-Aware Reinforcement Learning under Linear Temporal Logic Specifications
Bohan Cui, Keyi Zhu, Shaoyuan Li, Xiang Yin
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Segregator: Global Point Cloud Registration with Semantic and Geometric Cues
Pengyu Yin, Shenghai Yuan, CAO HAOZHI, XINGYU JI, Shuyang Zhang, Lihua Xie
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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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Self-Adaptive Teaching-Learning-Based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems
Jing Bi, Ziqi Wang, Haitao Yuan, Junfei Qiao, Jia Zhang, MengChu Zhou
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Self-Entanglement-Free Tethered Path Planning for Non-Particle Differential-Driven Robot
Tong Yang, Jiangpin Liu, Yue Wang, Rong Xiong
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Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
Resul Dagdanov, Halil Durmuş, Nazim Kemal Ure
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Self-Supervised Cloth Reconstruction Via Action-Conditioned Cloth Tracking
Zixuan Huang, Xingyu Lin, David Held
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Self-Supervised Feature Learning for Long-Term Metric Visual Localization
Yuxuan Chen, Timothy Barfoot
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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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Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos
Shiyang Lu, Yunfu Deng, Abdeslam Boularias, Kostas E. Bekris
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Self-Supervised Monocular Depth Underwater
Shlomi Amitai, Itzik Klein, Tali Treibitz
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Self-Supervised Multi-Frame Monocular Depth Estimation with Pseudo-LiDAR Pose Augmentation
Wenhua Wu, Guangming Wang, Jiquan Zhong, Hesheng Wang, Zhe Liu
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Self-Supervised Point Cloud Understanding Via Mask Transformer and Contrastive Learning
DI WANG, Zhi-Xin Yang
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Self-Triggered Coverage Control for Mobile Sensors
Rodriguez-Seda, Erick J.,Xu, Xiaotian,Olm, Josep M.,Doria-Cerezo, Arnau,Diaz-Mercado, Yancy
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Semantic Keypoint Extraction for Scanned Animals Using Multi-Depth-Camera Systems
Raphael Falque, Teresa A. Vidal-Calleja, Alen Alempijevic
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Semantic Mapping with Confidence Scores through Metric Embeddings and Gaussian Process Classification
Jungseok Hong, Suveer Garg, Volkan Isler
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Semantic-SuPer: A Semantic-Aware Surgical Perception Framework for Endoscopic Tissue Classification, Reconstruction, and Tracking
Shan Lin, Albert Miao, Jingpei Lu, Shunkai Yu, Zih-Yun Chiu, Florian Richter, Michael C. Yip
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Semantics-aware Exploration and Inspection Path Planning
Mihir Rahul Dharmadhikari, Kostas Alexis
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Semi-Autonomous Robotic Control of a Self-Shaping Cochlear Implant
Daniel Bautista-Salinas, Conor Kirby, Mohamed Essam Mohamed Kassem Abdelaziz, Burak Temelkuran, Charlie T Huins, Ferdinando Rodriguez y Baena
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Sensor Localization by Few Distance Measurements Via the Intersection of Implicit Manifolds
Michael M. Bilevich, Steven M LaValle, Dan Halperin
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Seq2Seq Imitation Learning for Tactile Feedback-Based Manipulation
Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kamarainen
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Sequence-Agnostic Multi-Object Navigation
Gireesh Nandiraju, Ayush Agrawal, Ahana Datta, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, Madhava Krishna
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Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing
Joshua Ott, Edward Balaban, Mykel Kochenderfer
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