Shen Li

Orcid: 0000-0002-8746-5438

Affiliations:
  • Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA


According to our database1, Shen Li authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Supervised Bayesian specification inference from demonstrations.
Int. J. Robotics Res., December, 2023

2022
Set-Based State Estimation With Probabilistic Consistency Guarantee Under Epistemic Uncertainty.
IEEE Robotics Autom. Lett., 2022

Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations.
Proceedings of the Conference on Robot Learning, 2022

2021
Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Reactive Task and Motion Planning under Temporal Logic Specifications.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Planning With Uncertain Specifications (PUnS).
IEEE Robotics Autom. Lett., 2020

Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks.
Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020

2019
Safe and Efficient High Dimensional Motion Planning in Space-Time with Time Parameterized Prediction.
Proceedings of the International Conference on Robotics and Automation, 2019

Fast Online Segmentation of Activities from Partial Trajectories.
Proceedings of the International Conference on Robotics and Automation, 2019

Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Bayesian Inference of Temporal Task Specifications from Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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