activity
20092023
most citedAdditive-Decomposition-Based Output Feedback Tracking Control for Systems with Measurable Nonlinearities and Unknown Disturbances

45 citations · 205 across the 65 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

eess.SY2021

A More Scalable Mixed-Integer Encoding for Metric Temporal Logic

Vince Kurtz, Hai Lin

The state-of-the-art in optimal control from timed temporal logic specifications, including Metric Temporal Logic (MTL) and Signal Temporal Logic (STL), is based on Mixed-Integer C…

eess.SY2021

idSTLPy: A Python Toolbox for Active Perception and Control

Rafael Rodrigues da Silva, Kunal Yadav, Hai Lin

This paper describes a Python toolbox for active perception and control synthesis of probabilistic signal temporal logic (PrSTL) formulas of switched linear systems with additive G…

eess.SY2021★ 4 cited

Active Perception and Control from PrSTL Specifications

Rafael Rodrigues da Silva, Vince Kurtz, Hai Lin

Next-generation intelligent systems must plan and execute complex tasks with imperfect information about their environment. As a result, plans must also include actions to learn ab…

cs.RO2021

Control Barrier Functions for Singularity Avoidance in Passivity-Based Manipulator Control

Vince Kurtz, Patrick M. Wensing, Hai Lin

Task-space Passivity-Based Control (PBC) for manipulation has numerous appealing properties, including robustness to modeling error and safety for human-robot interaction. Existing…

cs.RO2021

Mini Cheetah, the Falling Cat: A Case Study in Machine Learning and Trajectory Optimization for Robot Acrobatics

Vince Kurtz, He Li, Patrick M. Wensing +1

Seemingly in defiance of basic physics, cats consistently land on their feet after falling. In this paper, we design a controller that lands the Mini Cheetah quadruped robot on its…

eess.SY2021

Field Estimation using Robotic Swarms through Bayesian Regression and Mean-Field Feedback

Tongjia Zheng, Hai Lin

Recent years have seen an increased interest in using mean-field density based modelling and control strategy for deploying robotic swarms. In this paper, we study how to dynamical…