Media Summary: IEEE Latin America Transactions Authors: Armando Alves Neto, Victor C. da S. The proposed system is a low-cost autonomous robotic vehicle that detects obstacles and navigates safely without human control. Cyborg insects refer to hybrid robots that integrate living insects with miniature electronic controllers to enable robotic-like ...

Energy Efficient Navigation In Unknown - Detailed Analysis & Overview

IEEE Latin America Transactions Authors: Armando Alves Neto, Victor C. da S. The proposed system is a low-cost autonomous robotic vehicle that detects obstacles and navigates safely without human control. Cyborg insects refer to hybrid robots that integrate living insects with miniature electronic controllers to enable robotic-like ... This presentation addresses Traffic Engineering (TE) mechanisms that support È. Pairet, J. D. Hernández, M. Carreras, Y. Petillot, and M. Lahijanian. "Online Mapping and Motion Planning under Uncertainty for ... We propose a diffusion approximation method to the continuous-state Markov Decision Processes (MDPs) that can be utilized to ...

We consider the problem of trajectory design in an online fashion, under time-varying environments. To this end, we formulate the ... A Reinforcement Learning and Convex Optimization based motion planning algorithm is being demoed for cruise mode ... ICUAS 2021 Abstract: This work proposes a single-layer finite-horizon optimal control strategy to solve the autonomous Mar Reguant is an Associate Professor of Economics at Northwestern University and was a Wednesday @ NICO Speaker in 2016 ...

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Energy-efficient Navigation in Unknown Static Flow Fields using Reinforcement Learning
Voronoi-Based Multi-Robot Autonomous  Exploration in Unknown Environments via Deep RL
Smart Obstacle-Avoiding Rover for Safe Navigation in Unknown Environments
Swarm navigation of cyborg-insects in unknown obstructed soft terrain
Energy Efficient Routing
Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments
Kernel-based diffusion approximated MDP for autonomous navigation & control on unstructured terrains
ViNG: Learning Open-World Navigation with Visual Goals (ICRA 2021 Summary Video)
Energy efficient trajectory planning under time-varying ocean environments
Energy-Efficient Adaptive Robust Control of Vector Thrust UAVs With Unknown Inertial Parameters
Motion Planning in Unknown Environments for Self-Driving Vehicles
Energy-aware Model Predictive Control with Obstacle Avoidance
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Energy-efficient Navigation in Unknown Static Flow Fields using Reinforcement Learning

Energy-efficient Navigation in Unknown Static Flow Fields using Reinforcement Learning

IEEE Latin America Transactions https://ieeexplore.ieee.org/document/11435595 Authors: Armando Alves Neto, Victor C. da S.

Voronoi-Based Multi-Robot Autonomous  Exploration in Unknown Environments via Deep RL

Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep RL

Paper Link: https://ieeexplore.ieee.org/abstract/document/9244647 Code: ...

Smart Obstacle-Avoiding Rover for Safe Navigation in Unknown Environments

Smart Obstacle-Avoiding Rover for Safe Navigation in Unknown Environments

The proposed system is a low-cost autonomous robotic vehicle that detects obstacles and navigates safely without human control.

Swarm navigation of cyborg-insects in unknown obstructed soft terrain

Swarm navigation of cyborg-insects in unknown obstructed soft terrain

Cyborg insects refer to hybrid robots that integrate living insects with miniature electronic controllers to enable robotic-like ...

Energy Efficient Routing

Energy Efficient Routing

This presentation addresses Traffic Engineering (TE) mechanisms that support

Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments

Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments

È. Pairet, J. D. Hernández, M. Carreras, Y. Petillot, and M. Lahijanian. "Online Mapping and Motion Planning under Uncertainty for ...

Kernel-based diffusion approximated MDP for autonomous navigation & control on unstructured terrains

Kernel-based diffusion approximated MDP for autonomous navigation & control on unstructured terrains

We propose a diffusion approximation method to the continuous-state Markov Decision Processes (MDPs) that can be utilized to ...

ViNG: Learning Open-World Navigation with Visual Goals (ICRA 2021 Summary Video)

ViNG: Learning Open-World Navigation with Visual Goals (ICRA 2021 Summary Video)

We present Visual

Energy efficient trajectory planning under time-varying ocean environments

Energy efficient trajectory planning under time-varying ocean environments

We consider the problem of trajectory design in an online fashion, under time-varying environments. To this end, we formulate the ...

Energy-Efficient Adaptive Robust Control of Vector Thrust UAVs With Unknown Inertial Parameters

Energy-Efficient Adaptive Robust Control of Vector Thrust UAVs With Unknown Inertial Parameters

This paper proposes an

Motion Planning in Unknown Environments for Self-Driving Vehicles

Motion Planning in Unknown Environments for Self-Driving Vehicles

A Reinforcement Learning and Convex Optimization based motion planning algorithm is being demoed for cruise mode ...

Energy-aware Model Predictive Control with Obstacle Avoidance

Energy-aware Model Predictive Control with Obstacle Avoidance

ICUAS 2021 Abstract: This work proposes a single-layer finite-horizon optimal control strategy to solve the autonomous

Mar Reguant - How Machine Learning Can Predict Energy Efficiency

Mar Reguant - How Machine Learning Can Predict Energy Efficiency

Mar Reguant is an Associate Professor of Economics at Northwestern University and was a Wednesday @ NICO Speaker in 2016 ...