Ross A. Knepper

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Daniela RusAndrew (1956) and Erna Viterbi Professor of Computer Science, MITVerificeret mail på csail.mit.edu
Christoforos MavrogiannisAssistant Professor, University of MichiganVerificeret mail på umich.edu
Alonzo KellyCMUVerificeret mail på cmu.edu
Valts BlukisNVIDIAVerificeret mail på nvidia.com
Mihail PivtoraikoPostdoctoral Researcher, University of PennsylvaniaVerificeret mail på seas.upenn.edu
Siddhartha SrinivasaProfessor, University of WashingtonVerificeret mail på cs.washington.edu
Matthew T. MasonProfessor of Robotics and Computer Science, Carnegie Mellon UniversityVerificeret mail på cs.cmu.edu
Wil ThomasonResearch Scientist, The AI InstituteVerificeret mail på theaiinstitute.com
Yoav ArtziCornell University; ASAPPVerificeret mail på cs.cornell.edu
Stefanie TellexBrown UniversityVerificeret mail på cs.brown.edu
Nicholas RoyMITVerificeret mail på csail.mit.edu
Adrian Li-BellPhysical IntelligenceVerificeret mail på physicalintelligence.company
Claire LiangPostdoc, MIT CSAILVerificeret mail på mit.edu
Mehmet R. DogarSchool of Computer Science, University of LeedsVerificeret mail på leeds.ac.uk
Robert ShepherdCornell University, Organic Robotics LaboratoryVerificeret mail på cornell.edu
Ashutosh SaxenaFormer Faculty, Computer Science, Cornell University. Stanford UniversityVerificeret mail på cs.stanford.edu
Ian LenzCornell UniversityVerificeret mail på cs.cornell.edu
Thomas HowardUniversity of RochesterVerificeret mail på ece.rochester.edu
patrícia alves-oliveirauniversity of michigan, roboticsVerificeret mail på umich.edu
Maya CakmakUniversity of WashingtonVerificeret mail på cs.washington.edu

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Ross A. Knepper

Director of Software, Tortuga AgTech

Verificeret mail på tortugaagtech.com - Startside

Robotics Human-Robot Interaction Motion Planning Automated Assembly Artificial Intelligence


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Differentially constrained mobile robot motion planning in state lattices M Pivtoraiko, RA Knepper, A Kelly Journal of Field Robotics 26 (3), 308-333, 2009	600	2009
DeepMPC: Learning deep latent features for model predictive control. I Lenz, RA Knepper, A Saxena Robotics: Science and Systems 10, 25, 2015	436	2015
Ikeabot: An autonomous multi-robot coordinated furniture assembly system RA Knepper, T Layton, J Romanishin, D Rus 2013 IEEE International conference on robotics and automation, 855-862, 2013	264	2013
RF-compass: Robot object manipulation using RFIDs J Wang, F Adib, R Knepper, D Katabi, D Rus Proceedings of the 19th annual international conference on Mobile computing …, 2013	236	2013
Asking for help using inverse semantics S Tellex, R Knepper, A Li, D Rus, N Roy Robotics: Science and Systems Foundation, 2014	220	2014
A helping hand: Soft orthosis with integrated optical strain sensors and EMG control H Zhao, J Jalving, R Huang, R Knepper, A Ruina, R Shepherd IEEE Robotics & Automation Magazine 23 (3), 55-64, 2016	194	2016
Human expectations of social robots M Kwon, MF Jung, RA Knepper 2016 11th ACM/IEEE international conference on human-robot interaction (HRI …, 2016	190	2016
Herb 2.0: Lessons learned from developing a mobile manipulator for the home SS Srinivasa, D Berenson, M Cakmak, A Collet, MR Dogar, AD Dragan, ... Proceedings of the IEEE 100 (8), 2410-2428, 2012	156	2012
Local motion planning for collaborative multi-robot manipulation of deformable objects J Alonso-Mora, R Knepper, R Siegwart, D Rus 2015 IEEE international conference on robotics and automation (ICRA), 5495-5502, 2015	141	2015
Model-predictive motion planning: Several key developments for autonomous mobile robots T Howard, M Pivtoraiko, RA Knepper, A Kelly IEEE Robotics & Automation Magazine 21 (1), 64-73, 2014	129	2014
Pedestrian-inspired sampling-based multi-robot collision avoidance RA Knepper, D Rus 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human …, 2012	105	2012
Will UML 2.0 be agile or awkward? C Kobryn Communications of the ACM 45 (1), 107-110, 2002	104*	2002
High Performance State Lattice Planning Using Heuristic Look-Up Tables. RA Knepper, A Kelly IROS, 3375-3380, 2006	100	2006
Recovering from failure by asking for help RA Knepper, S Tellex, A Li, N Roy, D Rus Autonomous Robots 39, 347-362, 2015	97	2015
Mapping navigation instructions to continuous control actions with position-visitation prediction V Blukis, D Misra, RA Knepper, Y Artzi Conference on Robot Learning, 505-518, 2018	91	2018
Learning to map natural language instructions to physical quadcopter control using simulated flight V Blukis, Y Terme, E Niklasson, RA Knepper, Y Artzi arXiv preprint arXiv:1910.09664, 2019	89	2019
Effects of distinct robot navigation strategies on human behavior in a crowded environment C Mavrogiannis, AM Hutchinson, J Macdonald, P Alves-Oliveira, ... 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2019	87	2019
Implicit communication in a joint action RA Knepper, CI Mavrogiannis, J Proft, C Liang Proceedings of the 2017 acm/ieee international conference on human-robot …, 2017	84	2017
Path and trajectory diversity: Theory and algorithms MS Branicky, RA Knepper, JJ Kuffner 2008 IEEE International Conference on Robotics and Automation, 1359-1364, 2008	84	2008
Implicit communication of actionable information in human-ai teams C Liang, J Proft, E Andersen, RA Knepper Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019	83	2019

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