Media Summary: High Speed Robot Navigation using Predicted Occupancy Maps Final Footage from our experiments from the IROS 2023 paper "From Crowd Motion Abstract: This work addresses the development of a nonlinear model

High Speed Navigation Using Predictive - Detailed Analysis & Overview

High Speed Robot Navigation using Predicted Occupancy Maps Final Footage from our experiments from the IROS 2023 paper "From Crowd Motion Abstract: This work addresses the development of a nonlinear model High-Speed Navigation in Unknown Environments using Learned Probabilities of Collision We present HIP -- a method for combining geometric and learning-based ( In this video we discuss the development and experimental verification of a collision avoidance algorithm, the Triple Integrator ...

This research addresses the optimization of autonomous driving on curved paths, a critical area where current systems exhibit ... Video demo for the MED'18 conference publication. This video accompanies the paper "Strategizing at

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High-Speed Navigation Using Predictive Mapping
High Speed Robot Navigation using Predicted Occupancy Maps Final
NMPC for Rapid Collision Avoidance in Autonomous Vehicles
From Crowd Motion Prediction to Robot Navigation in Crowds [IROS 2023]
Presentation ICUAS2021: An Ellipsoidal-Polytopic Based Approach for Aggressive Navigation Using NMPC
High-Speed Navigation Using the Global Dynamic Window Approach
High-Speed Navigation in Unknown Environments using Learned Probabilities of Collision
Hybrid Imitative Planning with Predictive and Geometric Costs in Offroad Environments
Aggressive 3-D Collision Avoidance for High-Speed Navigation
Occlusion-Aware MPC for Guaranteed Safe Robot Navigation with Unseen Dynamic Obstacles
Autonomous Driving System for Curved PathsUsing Predictive Algorithms
Model Predictive Control for Aerial Collision Avoidance in dynamic environments
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High-Speed Navigation Using Predictive Mapping

High-Speed Navigation Using Predictive Mapping

Safe

High Speed Robot Navigation using Predicted Occupancy Maps Final

High Speed Robot Navigation using Predicted Occupancy Maps Final

High Speed Robot Navigation using Predicted Occupancy Maps Final

NMPC for Rapid Collision Avoidance in Autonomous Vehicles

NMPC for Rapid Collision Avoidance in Autonomous Vehicles

In autonomous vehicle

From Crowd Motion Prediction to Robot Navigation in Crowds [IROS 2023]

From Crowd Motion Prediction to Robot Navigation in Crowds [IROS 2023]

Footage from our experiments from the IROS 2023 paper "From Crowd Motion

Presentation ICUAS2021: An Ellipsoidal-Polytopic Based Approach for Aggressive Navigation Using NMPC

Presentation ICUAS2021: An Ellipsoidal-Polytopic Based Approach for Aggressive Navigation Using NMPC

Abstract: This work addresses the development of a nonlinear model

High-Speed Navigation Using the Global Dynamic Window Approach

High-Speed Navigation Using the Global Dynamic Window Approach

Brock, Oliver and Oussama Khatib.

High-Speed Navigation in Unknown Environments using Learned Probabilities of Collision

High-Speed Navigation in Unknown Environments using Learned Probabilities of Collision

High-Speed Navigation in Unknown Environments using Learned Probabilities of Collision

Hybrid Imitative Planning with Predictive and Geometric Costs in Offroad Environments

Hybrid Imitative Planning with Predictive and Geometric Costs in Offroad Environments

We present HIP -- a method for combining geometric and learning-based (

Aggressive 3-D Collision Avoidance for High-Speed Navigation

Aggressive 3-D Collision Avoidance for High-Speed Navigation

In this video we discuss the development and experimental verification of a collision avoidance algorithm, the Triple Integrator ...

Occlusion-Aware MPC for Guaranteed Safe Robot Navigation with Unseen Dynamic Obstacles

Occlusion-Aware MPC for Guaranteed Safe Robot Navigation with Unseen Dynamic Obstacles

For safe

Autonomous Driving System for Curved PathsUsing Predictive Algorithms

Autonomous Driving System for Curved PathsUsing Predictive Algorithms

This research addresses the optimization of autonomous driving on curved paths, a critical area where current systems exhibit ...

Model Predictive Control for Aerial Collision Avoidance in dynamic environments

Model Predictive Control for Aerial Collision Avoidance in dynamic environments

Video demo for the MED'18 conference publication.

Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing

Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing

This video accompanies the paper "Strategizing at