Media Summary: This video presents a stochastic programming framework for multi-agent task allocation where task decomposition, assignment, ... This video showcases the successful implementation of dual objectives: trajectory tracking (TT) and obstacle avoidance (OA) for a ... Video accompanying the paper "Pixels to Proofs: Probabilistically-Safe Latent World Model

Robust Plan Based Robot Control - Detailed Analysis & Overview

This video presents a stochastic programming framework for multi-agent task allocation where task decomposition, assignment, ... This video showcases the successful implementation of dual objectives: trajectory tracking (TT) and obstacle avoidance (OA) for a ... Video accompanying the paper "Pixels to Proofs: Probabilistically-Safe Latent World Model In this work, we detail a comprehensive framework for safe and This video supports the theoretical claims made in our paper with the same title, which is accepted by ICRA 2024 presentation Title: Integrating Predictive Motion Uncertainties with Distributionally

Lin, Feng, and Robert D. Brandt. "An optimal

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Robust Plan-Based Robot Control - Dr Michael Cashmore
Robot Dynamics, Control & Planning
Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics
IROS 23 Presentation: Robust Task Scheduling for Heterogeneous Robot Teams
Robust and Safe Control of Mobile Robots Using Control Barrier Functions: Experimental Results
Pixels to Proofs: Probabilistically-Safe Latent World Model Control w/ Parallel Conformal Robust MPC
Robot Control Course | Chapter 7: Robust Robot Control
Safe and Robust Planning for Uncertain Robots: A Closed-Loop State Sensitivity Approach
Augmenting Control Policies with Motion Planning for Robust and Safe Multi-robot Navigation
Impact-friendly robust control design with task-space quadratic optimization
Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control
Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds
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Robust Plan-Based Robot Control - Dr Michael Cashmore

Robust Plan-Based Robot Control - Dr Michael Cashmore

Title:

Robot Dynamics, Control & Planning

Robot Dynamics, Control & Planning

Crash course lecture on

Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics

Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics

Learning

IROS 23 Presentation: Robust Task Scheduling for Heterogeneous Robot Teams

IROS 23 Presentation: Robust Task Scheduling for Heterogeneous Robot Teams

This video presents a stochastic programming framework for multi-agent task allocation where task decomposition, assignment, ...

Robust and Safe Control of Mobile Robots Using Control Barrier Functions: Experimental Results

Robust and Safe Control of Mobile Robots Using Control Barrier Functions: Experimental Results

This video showcases the successful implementation of dual objectives: trajectory tracking (TT) and obstacle avoidance (OA) for a ...

Pixels to Proofs: Probabilistically-Safe Latent World Model Control w/ Parallel Conformal Robust MPC

Pixels to Proofs: Probabilistically-Safe Latent World Model Control w/ Parallel Conformal Robust MPC

Video accompanying the paper "Pixels to Proofs: Probabilistically-Safe Latent World Model

Robot Control Course | Chapter 7: Robust Robot Control

Robot Control Course | Chapter 7: Robust Robot Control

Robot Control

Safe and Robust Planning for Uncertain Robots: A Closed-Loop State Sensitivity Approach

Safe and Robust Planning for Uncertain Robots: A Closed-Loop State Sensitivity Approach

In this work, we detail a comprehensive framework for safe and

Augmenting Control Policies with Motion Planning for Robust and Safe Multi-robot Navigation

Augmenting Control Policies with Motion Planning for Robust and Safe Multi-robot Navigation

Integration of sampling-

Impact-friendly robust control design with task-space quadratic optimization

Impact-friendly robust control design with task-space quadratic optimization

This video supports the theoretical claims made in our paper with the same title, which is accepted by

Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control

Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control

Fast feedback

Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds

Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds

ICRA 2024 presentation Title: Integrating Predictive Motion Uncertainties with Distributionally

An optimal control approach to robust control of robot manipulators.

An optimal control approach to robust control of robot manipulators.

Lin, Feng, and Robert D. Brandt. "An optimal