Các bài viết có thể truy cập công khai - Gaurav SukhatmeTìm hiểu thêm
Không có ở bất kỳ nơi nào: 11
NeuralSim: Augmenting differentiable simulators with neural networks
E Heiden, D Millard, E Coumans, Y Sheng, GS Sukhatme
2021 IEEE International Conference on Robotics and Automation (ICRA), 9474-9481, 2021
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Toward an internet of battlefield things: A resilience perspective
T Abdelzaher, N Ayanian, T Basar, S Diggavi, J Diesner, D Ganesan, ...
Computer 51 (11), 24-36, 2018
Các cơ quan ủy nhiệm: US Department of Defense
Evaluating network rigidity in realistic systems: Decentralization, asynchronicity, and parallelization
RK Williams, A Gasparri, A Priolo, GS Sukhatme
IEEE Transactions on Robotics 30 (4), 950-965, 2014
Các cơ quan ủy nhiệm: Government of Italy
Tracking fast trajectories with a deformable object using a learned model
JA Preiss, D Millard, T Yao, GS Sukhatme
2022 International Conference on Robotics and Automation (ICRA), 1351-1357, 2022
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Decentralized and Parallel Constructionsfor Optimally Rigid Graphs in
A Gasparri, RK Williams, A Priolo, GS Sukhatme
IEEE Transactions on Mobile Computing 14 (11), 2216-2228, 2015
Các cơ quan ủy nhiệm: Government of Italy
Feature selection for learning versatile manipulation skills based on observed and desired trajectories
O Kroemer, GS Sukhatme
2017 IEEE International Conference on Robotics and Automation (ICRA), 4713-4720, 2017
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
On-line coordination tasks for multi-robot systems using adaptive informative sampling
C Nieto-Granda, JG Rogers III, N Fung, S Kemna, HI Christensen, ...
Proceedings of the 2018 International Symposium on Experimental Robotics …, 2020
Các cơ quan ủy nhiệm: US Department of Defense
Comparison of path planning approaches for harmful algal bloom monitoring
C Denniston, A Kumaraguru, GS Sukhatme
OCEANS 2019 MTS/IEEE SEATTLE, 1-9, 2019
Các cơ quan ủy nhiệm: US Department of Defense, US Department of Agriculture
On-line AUV survey planning for finding safe vessel paths through hazardous environments
C Denniston, TR Krogstad, S Kemna, GS Sukhatme
2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), 1-8, 2018
Các cơ quan ủy nhiệm: US Department of Defense, US Department of Agriculture
Decentralized algorithms for optimally rigid network constructions
A Priolo, RK Williams, A Gasparri, GS Sukhatme
2014 IEEE International Conference on Robotics and Automation (ICRA), 5010-5015, 2014
Các cơ quan ủy nhiệm: Government of Italy
Parameter estimation for deformable objects in robotic manipulation tasks
D Millard, JA Preiss, J Barbič, GS Sukhatme
The International Symposium of Robotics Research, 239-251, 2022
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Có tại một số nơi: 69
Crazyswarm: A large nano-quadcopter swarm
JA Preiss, W Honig, GS Sukhatme, N Ayanian
2017 IEEE International Conference on Robotics and Automation (ICRA), 3299-3304, 2017
Các cơ quan ủy nhiệm: US Department of Defense
Interactive perception: Leveraging action in perception and perception in action
J Bohg, K Hausman, B Sankaran, O Brock, D Kragic, S Schaal, ...
IEEE Transactions on Robotics 33 (6), 1273-1291, 2017
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense, German Research …
Trajectory planning for quadrotor swarms
W Hönig, JA Preiss, TKS Kumar, GS Sukhatme, N Ayanian
IEEE Transactions on Robotics 34 (4), 856-869, 2018
Các cơ quan ủy nhiệm: US Department of Defense
Combining model-based and model-free updates for trajectory-centric reinforcement learning
Y Chebotar, K Hausman, M Zhang, G Sukhatme, S Schaal, S Levine
International conference on machine learning, 703-711, 2017
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Multi-modal imitation learning from unstructured demonstrations using generative adversarial nets
K Hausman, Y Chebotar, S Schaal, G Sukhatme, JJ Lim
Advances in neural information processing systems 30, 2017
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Sim-to-(multi)-real: Transfer of low-level robust control policies to multiple quadrotors
A Molchanov, T Chen, W Hönig, JA Preiss, N Ayanian, GS Sukhatme
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
Các cơ quan ủy nhiệm: US Department of Defense
Meta learning via learned loss
S Bechtle, A Molchanov, Y Chebotar, E Grefenstette, L Righetti, ...
2020 25th International Conference on Pattern Recognition (ICPR), 4161-4168, 2021
Các cơ quan ủy nhiệm: US National Science Foundation, European Commission
Multi-robot coordination through dynamic Voronoi partitioning for informative adaptive sampling in communication-constrained environments
S Kemna, JG Rogers, C Nieto-Granda, S Young, GS Sukhatme
2017 IEEE International Conference on Robotics and Automation (ICRA), 2124-2130, 2017
Các cơ quan ủy nhiệm: US Department of Defense
Data‐driven learning and planning for environmental sampling
KC Ma, L Liu, HK Heidarsson, GS Sukhatme
Journal of Field Robotics 35 (5), 643-661, 2018
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense, US Department of …
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