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Israel Becerra

8 accepted papers

2023

Control Inference Neural Network for Motion Planning With Dynamical Systems

RA-L 2023

This letter proposes an approach that combines the use of sampling-based motion planning with machine learning algorithms. In particular, the asymptotically optimal planner <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SST*</i> is used to generate

Cited by 1SourceScholar
2022

On the Efficiency of the SST Planner to Find Time Optimal Trajectories Among Obstacles With a DDR Under Second Order Dynamics

RA-L 2022

In this work, we study a sampling based motion planner able to deal with a kinodynamic problem. We want to move a robot from an initial state to a final one, along the minimum cost trajectory in an environment with obstacles. In particular, we study the effect of using extremal controls as the input

Cited by 3SourceScholar
2022

Surveillance and Collision-Free Tracking of an Aggressive Evader With an Actuated Sensor Pursuer

RA-L 2022

This letter addresses a visibility-based pursuit-evasion game. The pursuer’s task is to maintain the evader’s visibility continuously. The evader’s objective is to avoid the pursuer’s surveillance. Some contributions of this work are the following: 1) We present a pursuer’s motion strategy that can

Cited by 16SourceScholar
2021

Analysis of User Preferences for Robot Motions in Immersive Telepresence

IROS 2021poster

This paper considers how the motions of a telepresence robot moving autonomously affect a person immersed in the robot through a head-mounted display. In particular, we explore the preference, comfort, and naturalness of elements of piecewise linear paths compared to the same elements on a smooth pa…

Cited by 10SourceScholar
2021

On the Visual-Based Safe Landing of UAVs in Populated Areas: A Crucial Aspect for Urban Deployment

RA-L 2021

Autonomous landing of Unmanned Aerial Vehicles (UAVs) in crowded scenarios is crucial for successful deployment of UAVs in populated areas, particularly in emergency landing situations where the highest priority is to avoid hurting people. In this work, a new visual-based algorithm for identifying S

Cited by 30SourceScholar
2020

Human Perception-Optimized Planning for Comfortable VR-Based Telepresence

RA-L 2020

This letter introduces an emerging motion planning problem by considering a human that is immersed into the viewing perspective of a remote robot. The challenge is to make the experience both effective (such as delivering a sense of presence), and comfortable (such as avoiding adverse sickness sympt

Cited by 21SourceScholar