Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Luis Sentis

Luis Sentis

Learning Contact-based Navigation in Crowds

Mar 02, 2023
Kyle Morgenstein, Junfeng Jiao, Luis Sentis

Figure 1 for Learning Contact-based Navigation in Crowds

Figure 2 for Learning Contact-based Navigation in Crowds

* Presented at the Human Interactive Robot Learning worksop at HRI2023

Access Paper or Ask Questions

Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments

Sep 19, 2022
Mingyo Seo, Ryan Gupta, Yifeng Zhu, Alexy Skoutnev, Luis Sentis, Yuke Zhu

Figure 1 for Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments

Figure 2 for Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments

Figure 3 for Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments

Figure 4 for Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments

* Submitted to ICRA 2023

Access Paper or Ask Questions

Data-Driven Safety Verification for Legged Robots

Feb 24, 2022
Junhyeok Ahn, Seung Hyeon Bang, Carlos Gonzalez, Yuanchen Yuan, Luis Sentis

Figure 1 for Data-Driven Safety Verification for Legged Robots

Figure 2 for Data-Driven Safety Verification for Legged Robots

Figure 3 for Data-Driven Safety Verification for Legged Robots

Figure 4 for Data-Driven Safety Verification for Legged Robots

* 8 pages, 8 figures, submitted to RA-L with IROS option

Access Paper or Ask Questions

A Barrier Pair Method for Safe Human-Robot Shared Autonomy

Dec 01, 2021
Binghan He, Mahsa Ghasemi, Ufuk Topcu, Luis Sentis

Figure 1 for A Barrier Pair Method for Safe Human-Robot Shared Autonomy

Figure 2 for A Barrier Pair Method for Safe Human-Robot Shared Autonomy

Figure 3 for A Barrier Pair Method for Safe Human-Robot Shared Autonomy

Figure 4 for A Barrier Pair Method for Safe Human-Robot Shared Autonomy

* Accepted in Proceedings of the 60th IEEE Conference on Decision and Control

Access Paper or Ask Questions

Information-Theoretic Based Target Search with Multiple Agents

Jul 27, 2021
Minkyu Kim, Ryan Gupta, Luis Sentis

Figure 1 for Information-Theoretic Based Target Search with Multiple Agents

Figure 2 for Information-Theoretic Based Target Search with Multiple Agents

Figure 3 for Information-Theoretic Based Target Search with Multiple Agents

Figure 4 for Information-Theoretic Based Target Search with Multiple Agents

* 6 pages, 6 figures

Access Paper or Ask Questions

Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System

Nov 20, 2020
Junhyeok Ahn, Luis Sentis

Figure 1 for Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System

Figure 2 for Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System

Figure 3 for Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System

Figure 4 for Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System

* Submitted to 2021 L4DC

Access Paper or Ask Questions