Ausgabe 1/2022
Special Issue on Robotics: Science and Systems 2020
Inhalt (17 Artikel)
Special issue on the 2020 “Robotics: Science and Systems” conference
Sven Behnke
Correspondence identification for collaborative multi-robot perception under uncertainty
Peng Gao, Rui Guo, Hongsheng Lu, Hao Zhang
LatticeNet: fast spatio-temporal point cloud segmentation using permutohedral lattices
Radu Alexandru Rosu, Peer Schütt, Jan Quenzel, Sven Behnke
OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization
Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Jens Behley, Cyrill Stachniss
Affordance-based robot object retrieval
Thao Nguyen, Nakul Gopalan, Roma Patel, Matt Corsaro, Ellie Pavlick, Stefanie Tellex
Expert Intervention Learning
Jonathan Spencer, Sanjiban Choudhury, Matthew Barnes, Matthew Schmittle, Mung Chiang, Peter Ramadge, Sidd Srinivasa
Learning latent actions to control assistive robots
Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh
Learning temporal logic formulas from suboptimal demonstrations: theory and experiments
Glen Chou, Necmiye Ozay, Dmitry Berenson
VisuoSpatial Foresight for physical sequential fabric manipulation
Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
ALGAMES: a fast augmented Lagrangian solver for constrained dynamic games
Simon Le Cleac’h, Mac Schwager, Zachary Manchester
Bayes–Nash: Bayesian inference for Nash equilibrium selection in human-robot parallel play
Shray Bansal, Jin Xu, Ayanna Howard, Charles Isbell
Dynamic multi-robot task allocation under uncertainty and temporal constraints
Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg
Heterogeneous graph attention networks for scalable multi-robot scheduling with temporospatial constraints
Zheyuan Wang, Chen Liu, Matthew Gombolay
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures
Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams
Stochastic spatio-temporal optimization for control and co-design of systems in robotics and applied physics
Ethan N. Evans, Andrew P. Kendall, Evangelos A. Theodorou
AlphaPilot: autonomous drone racing
Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza