Faculty

Institution

Unit

Venue

Roberto Horowitz

Distinguished Professor of Mechanical Engineering

University of California, Berkeley

Affiliations

College of Engineering

Mechanical Engineering

Roberto Horowitz is currently serving as a College Of Engineering Distinguished Professor of Mechanical Engineering at University of California, Berkeley.

Honors

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Experiences

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Education

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Roberto Horowitz

University of California, Berkeley

Distinguished Professor of Mechanical Engineering

You can click a keyword to filter the displayed items

engineering systems engineering transportation engineering automatic control electrical engineering control systems mechanical engineering robotics traffic management modeling and simulation instrumentation traffic engineering machine learning adaptive control hard disk drives transportation research traffic flow mechatronics vehicular technology control engineering control optimization vehicle control micro-electromechanical systems control design motion control robust control control system technology traffic simulation logistics robot control sensor technology transportation system management traffic models microactuators traffic signal control vibration control sensor design automated highway systems dual-stage servo systems mobility intelligent vehicles networked system design control science traffic theory robotic manipulators electronics micro technology control technology model predictive control transportation planning intelligent traffic management robot manipulators friction precision engineering computational optimization mathematical optimization optical engineering ramp metering engineering optimization infrastructure engineering vehicle system dynamics vehicle network traffic prediction micromechanics learning control cell transmission model instrumented suspension full sheet control infrared optic adaptive controllers mechanical manipulators mems gyroscopes friction coefficient traffic control safe platooning smart exercise machines

Notable Scholarly Works

Notable Federal Grants

Collaborators

Group-Invariant Unsupervised Skill Discovery: Symmetry-Aware Skill Representations for Generalizable Behavior. arXiv (Cornell University) (2026)

EQUICONTACT: A Hierarchical Se(3) Vision-To-Force Equivariant Policy for Spatially Generalizable Contact-Rich Tasks. ArXiv.org (2025)

Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments. arXiv (Cornell University) (2025)

Se(3)-Equivariant Robot Learning and Control: A Tutorial Survey. International Journal of Control Automation and Systems (2025)

A Comparison Between Lie Group- and Lie Algebra- Based Potential Functions for Geometric Impedance Control. 2022 American Control Conference (ACC) (2024)

Joohwan SeoNikhil Potu Surya PrakashJongeun ChoiRoberto Horowitz

lie grouppotential functionscomparative analysislie algebrageometric impedance controlapplied mathematics

A Unified Toll Lane Framework for Autonomous and High-Occupancy Vehicles in Interactive Mixed Autonomy. arXiv (Cornell University) (2024)

Li, RuolinBrown, Philip N.Horowitz, Roberto

systems engineeringtransportation engineeringroboticsvehicular technologytraffic managementautomatic controlautonomous drivinginteractive mixed autonomyhigh-occupancy vehicles

Deep Geometric Potential Functions for Tracking on Manifolds. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2024)

Nikhil Potu Surya PrakashJoohwan SeoKoushil SreenathJongeun ChoiRoberto Horowitz

manifold modelinggeometric analysissystems engineeringmanifold learninggeometric learninggeometrydeep learningrobot learningintelligent systemsobject trackinggeometric modeling

Diffusion-Edfs: Bi-Equivariant Denoising Generative Modeling on Se(3) for Visual Robotic Manipulation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Hyunwoo RyuJiwoo KimHyunseok AnJunwoo ChangJoohwan SeoTaehan KimYubin KimChaewon HwangJongeun ChoiRoberto Horowitz

kinematicsgenerative modelingcomputer visionrobotics3d computer visiondeep learningapplied mathematicsvision roboticsvisual robotic manipulationcomputer science

Variable Impedance Control Using Deep Geometric Potential Fields. IFAC-PapersOnLine (2024)

Clustering Techniques for Stable Linear Dynamical Systems With Applications to Hard Disk Drives. arXiv (Cornell University) (2023)

Prakash, Nikhil Potu SuryaSeo, JoohwanChoi, JongeunHorowitz, Roberto

clusteringapplied mathematics

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Roberto Horowitz

Distinguished Professor of Mechanical Engineering

University of California, Berkeley

Affiliations

College of Engineering

Mechanical Engineering

Roberto Horowitz is currently serving as a College Of Engineering Distinguished Professor of Mechanical Engineering at University of California, Berkeley.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Roberto Horowitz

University of California, Berkeley

Distinguished Professor of Mechanical Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Group-Invariant Unsupervised Skill Discovery: Symmetry-Aware Skill Representations for Generalizable Behavior. arXiv (Cornell University) (2026)

EQUICONTACT: A Hierarchical Se(3) Vision-To-Force Equivariant Policy for Spatially Generalizable Contact-Rich Tasks. ArXiv.org (2025)

Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments. arXiv (Cornell University) (2025)

Se(3)-Equivariant Robot Learning and Control: A Tutorial Survey. International Journal of Control Automation and Systems (2025)

A Comparison Between Lie Group- and Lie Algebra- Based Potential Functions for Geometric Impedance Control. 2022 American Control Conference (ACC) (2024)

Joohwan SeoNikhil Potu Surya PrakashJongeun ChoiRoberto Horowitz

lie grouppotential functionscomparative analysislie algebrageometric impedance controlapplied mathematics

A Unified Toll Lane Framework for Autonomous and High-Occupancy Vehicles in Interactive Mixed Autonomy. arXiv (Cornell University) (2024)

Li, RuolinBrown, Philip N.Horowitz, Roberto

systems engineeringtransportation engineeringroboticsvehicular technologytraffic managementautomatic controlautonomous drivinginteractive mixed autonomyhigh-occupancy vehicles

Deep Geometric Potential Functions for Tracking on Manifolds. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2024)

Nikhil Potu Surya PrakashJoohwan SeoKoushil SreenathJongeun ChoiRoberto Horowitz

manifold modelinggeometric analysissystems engineeringmanifold learninggeometric learninggeometrydeep learningrobot learningintelligent systemsobject trackinggeometric modeling

Diffusion-Edfs: Bi-Equivariant Denoising Generative Modeling on Se(3) for Visual Robotic Manipulation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Hyunwoo RyuJiwoo KimHyunseok AnJunwoo ChangJoohwan SeoTaehan KimYubin KimChaewon HwangJongeun ChoiRoberto Horowitz

kinematicsgenerative modelingcomputer visionrobotics3d computer visiondeep learningapplied mathematicsvision roboticsvisual robotic manipulationcomputer science

Variable Impedance Control Using Deep Geometric Potential Fields. IFAC-PapersOnLine (2024)

Clustering Techniques for Stable Linear Dynamical Systems With Applications to Hard Disk Drives. arXiv (Cornell University) (2023)

Prakash, Nikhil Potu SuryaSeo, JoohwanChoi, JongeunHorowitz, Roberto

clusteringapplied mathematics

1
2
3
4
5
40
10 / page

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