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1638 result(s) for “Design and Human Factors” Page 32 of 33
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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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Image Masking for Robust Self-Supervised Monocular Depth Estimation
Hemang Chawla, Kishaan Jeeveswaran, Elahe Arani, Bahram Zonooz
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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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Tentacle-Based Shape Shifting of Metamorphic Robots Using Fast Inverse Kinematics
Jan Mrázek, Patrick Ondika, Ivana Černá, Jiri Barnat
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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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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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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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A Hybrid Quadratic Programming Framework for Real-Time Embedded Safety-Critical Control
Ryan Bena, Sushmit Hossain, Buyun Chen, Wei Wu, Quan Nguyen
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Goal-Conditioned Action Space Reduction for Deformable Object Manipulation
Shengyin Wang, Rafael Papallas, Matteo Leonetti, Mehmet R Dogar
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CuRobo: Parellelized Collision-Free Robot Motion Generation
Balakumar Sundaralingam, Siva Kumar Sastry Hari, Adam Fishman, Caelan Garrett, Karl Van Wyk, Valts Blukis, Alexander James Millane, Helen Oleynikova, Ankur Handa, Fabio Ramos, Nathan Ratliff, Dieter Fox
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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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Path Planning under Uncertainty to Localize mmWave Sources
Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Jun Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti
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Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
Shikha Surana, Bryan Wei Tern Lim, Antoine Cully
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Keypoint-GraspNet: Keypoint-Based 6-DoF Grasp Generation from the Monocular RGB-D Input
Yiye Chen, Yunzhi Lin, Ruinian Xu, Patricio Vela
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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 Learning of Object Segmentation from Unlabeled RGB-D Videos
Shiyang Lu, Yunfu Deng, Abdeslam Boularias, Kostas E. Bekris
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On the Use of Torque Measurement in Centroidal State Estimation
Shahram Khorshidi, Ahmad Gazar, Nicholas Rotella, Maximilien Naveau, Ludovic Righetti, Maren Bennewitz, Majid Khadiv
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KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition
Louis Wiesmann, Lucas Nunes, Jens Behley, Cyrill Stachniss
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A Generic Power Wheelchair Lumped Model in the Sagittal Plane: Towards Realistic Self-Motion Perception in a Virtual Reality Simulator
Fabien Grzeskowiak, Ronan Le Breton, Louise Devigne, François Pasteau, Marie Babel, Sylvain Guegan
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A Reachability-Based Spatio-Temporal Sampling Strategy for Kinodynamic Motion Planning
Yongxing Tang, Zhanxia Zhu, Hongwen Zhang
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Towards Open-Set Material Recognition Using Robot Tactile Sensing
Kun-Hong Liu, Qianhui Yang, Yu XIE, Xiangyi Huang
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A Graph-Based Optimization Framework for Hand-Eye Calibration for Multi-Camera Setups
Daniele Evangelista, Emilio Olivastri, Davide Allegro, Emanuele Menegatti, Alberto Pretto
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A Flexible 3D Force Sensor with Tunable Sensitivity
James J. Davies, Mai Thanh Thai, Trung Thien Hoang, Nguyen Chi Cong, Phuoc Thien Phan, Kefan Zhu, Dang Bao Nhi Tran, Van Ho, Hung La, Q P Ha, Nigel Hamilton Lovell, Thanh Nho Do
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Burst Stimulation for Enhanced Locomotion Control of Terrestrial Cyborg Insects
HUU DUOC NGUYEN, Hirotaka Sato, T. Thang Vo-Doan
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Speeding up Assembly Sequence Planning through Learning Removability Probabilities
Alexander Cebulla, Tamim Asfour, Torsten Kroeger
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Discriminative 3D Shape Modeling for Few-Shot Instance Segmentation
Anoop Cherian, Siddarth Jain, Tim K. Marks, Alan Sullivan
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RoSS: Rotation-Induced Aliasing for Audio Source Separation
Hyungjoo Seo, Sahil Bhandary Karnoor, Romit Roy Choudhury
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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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DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles Via Deep Learning Methods
Stewart Jamieson, Jonathan How, Yogesh Girdhar
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Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery
Paul Maria Scheikl, Eleonora Tagliabue, Balazs Gyenes, Martin Wagner, Diego Dall'Alba, Paolo Fiorini, Franziska Mathis-Ullrich
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A MySQL Database for the Systematic Configuration Selection of Redundant Manipulators when Path Planning in Confined Spaces
Kat Styles Wood, Thomas. B Scott, Antonia Tzemanaki
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Loosely-Coupled Localization Fusion System Based on Track-To-Track Fusion with Bias Alignment
Soyeong Kim, Kichun Jo, Benazouz BRADAI, Paulo RESENDE, Jaeyoung Jo
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Finding Things in the Unknown: Semantic Object-Centric Exploration with an MAV
Sotiris Papatheodorou, Nils Funk, Dimos Tzoumanikas, Christopher Choi, Binbin Xu, Stefan Leutenegger
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RAMP-Net: A Robust Adaptive MPC for Quadrotors Via Physics-Informed Neural Network
Sourav Sanyal, Kaushik Roy
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Deep Occupancy-Predictive Representations for Autonomous Driving
Eivind Meyer, Lars Frederik Peiss, Matthias Althoff
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Model Based Position Control of Soft Hydraulic Actuators
Mark Runciman, Enrico Franco, James Avery, Ferdinando Rodriguez y Baena, George Mylonas
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Obscuring Objectives with Pareto-Optimal Privacy-Aware Trajectories in Multi-Robot Coverage
Brennan Brodt, Alyssa Pierson
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Towards Visual Classification under Class Ambiguity
Viktor Kozák, Jan Mikula, Luká� Bertl, Karel Kosnar, Libor Preucil
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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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