Faculty

Institution

Unit

Venue

Haruhiko Asada

Professor Ford Professor of Engineering; Director d'Arbeloff Laboratory for Information Systems and Technology; Head Control Instrumentation and Robotics

Massachusetts Institute of Technology

Affiliations

School of Engineering

Mechanical Engineering

Haruhiko Asada is currently serving as a Mechanical Engineering Professor Ford Professor of Engineering; Director d'Arbeloff Laboratory for Information Systems and Technology; Head Control Instrumentation and Robotics at Massachusetts Institute of Technology.

Honors

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Experiences

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Education

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Haruhiko Asada

Massachusetts Institute of Technology

Professor Ford Professor of Engineering; Director d'Arbeloff Laboratory for Information Systems and Technology; Head Control Instrumentation and Robotics

You can click a keyword to filter the displayed items

robotics mechanical engineering systems engineering engineering biomedical engineering automatic control control systems instrumentation wearable technology robot control biomechanics embodied robotics rehabilitation robotics assistive technology sensor technology kinematics sensors bio-inspired robotics angiogenesis industrial robotics health technology physiological measurements sensor design respiratory medicine automation engineering aerial robotics health monitoring wearable electronics motion control control design supernumerary robotic limbs human robot interaction vascular biology marine engineering adaptive control field robotics underwater technologies control engineering wearable sensors haptic technologies object manipulation aeronautics piezoelectricity robotics automation active control vehicle control power electronics autonomous robots patient monitoring skeletal muscle aerospace robotics progressive learning wearable biosensors underwater robot bedridden patients robot learning micro-electromechanical systems integrated control biofabrication electronics angiology command and control direct-drive arm human skills broadcast feedback assembly operations finger posture biomedical informatics kinematic analysis dynamic subsystems vapor compression cycles reconfigurable fixtures finger-ring plethysmographic sensors hvac systems inverse dynamics computational modeling bio-inspired design artificial life focal adhesion dynamics biological engineering

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables. IEEE Robotics and Automation Letters (2024)

Itta NozawaEmily KamienskiCormac O'NeillH. Harry Asada

computer sciencemonte carlo methodsmachine learningdirect encodingroboticssystems engineeringcomputer visionneural-network observablesapplied mathematicsmonte carlo

Enhancing Elderly Mobility: A Sturdy, Two-Body Robot for Handlebar Placement in Any Location. IEEE Robotics and Automation Letters (2024)

Roberto BolliH. Harry Asada

elderly mobilityassistive technologyroboticsfield roboticstwo-body robotrehabilitationbio-inspired roboticsrehabilitation roboticshandlebar placementmobility

Koopman Dynamic Modeling for Global and Unified Representations of Rigid Body Systems Making and Breaking Contact. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2024)

Cormac O’NeillH. Harry Asada

koopman dynamic modelingintelligent systemsrigid body systemsroboticssystems engineeringunified representationsintelligent robotics

Model Free Method of Screening Training Data for Adversarial Datapoints Through Local Lipschitz Quotient Analysis. IEEE Robotics and Automation Letters (2024)

Emily KamienskiHarry Asada

automationtraining datarobotics automationroboticssystems engineeringadversarial datapointsmodel free method

Supernumerary Robotic Limbs to Support Post-Fall Recoveries for Astronauts. (2024)

Erik BallesterosSang-Yoep LeeKalind C. CarpenterH. Harry Asada

aerospace engineeringsupernumerary robotic limbsautonomous robotsrobot-assisted surgerypost-fall recoveriesroboticsmechanical engineeringastronauticshuman movementlegged robotsbiomechanical engineeringrehabilitation roboticsrehabilitation engineeringbiomedical engineeringfall preventionwearable technology

Tip-Clutching Winch for High Tensile Force Application With Soft Growing Robots. (2024)

O. Godson OseleKentaro BarhydtNicholas CeroneAllison M. OkamuraH. Harry Asada

tip-clutching winchsoft roboticsmechanical engineering

A High-Strength, Highly-Flexible Robotic Strap for Harnessing, Lifting, and Transferring Humans. IEEE Robotics and Automation Letters (2023)

Kentaro BarhydtH. Harry Asada

automationembodied roboticsassistive technologyindustrial roboticsdexterous manipulationhighly-flexible robotic straproboticsmechanical engineeringrehabilitationrehabilitation roboticsautomation engineeringwearable technology

A Koopman-Based Reduced-Order Observer Using Measurable Visual Image Observables. (2023)

Jadal WilliamsHaruhiko Harry Asada

computer scienceobserver designpattern recognitionmachine learningcomputer visionmachine vision

Assessment of Surface Collapse Risk Considering Forest Management Information in the Aso Region. Proceedings of the International Conference on Environmental Science and Applications, ICESA ... (2023)

Hiroki AsadaAsada Minagawa

environmental engineeringenvironmental sciencerisk managementaso regionsurface collapse riskearth science

Data-Driven Encoding: A New Numerical Method for Computation of the Koopman Operator. IEEE Robotics and Automation Letters (2023)

Jerry NgH. Harry Asada

computer sciencedata-driven encodingnumerical computationdata sciencekoopman operatornumerical analysis

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Haruhiko Asada

Professor Ford Professor of Engineering; Director d'Arbeloff Laboratory for Information Systems and Technology; Head Control Instrumentation and Robotics

Massachusetts Institute of Technology

Affiliations

School of Engineering

Mechanical Engineering

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Haruhiko Asada

Massachusetts Institute of Technology

Professor Ford Professor of Engineering; Director d'Arbeloff Laboratory for Information Systems and Technology; Head Control Instrumentation and Robotics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables. IEEE Robotics and Automation Letters (2024)

Itta NozawaEmily KamienskiCormac O'NeillH. Harry Asada

computer sciencemonte carlo methodsmachine learningdirect encodingroboticssystems engineeringcomputer visionneural-network observablesapplied mathematicsmonte carlo

Enhancing Elderly Mobility: A Sturdy, Two-Body Robot for Handlebar Placement in Any Location. IEEE Robotics and Automation Letters (2024)

Roberto BolliH. Harry Asada

elderly mobilityassistive technologyroboticsfield roboticstwo-body robotrehabilitationbio-inspired roboticsrehabilitation roboticshandlebar placementmobility

Cormac O’NeillH. Harry Asada

koopman dynamic modelingintelligent systemsrigid body systemsroboticssystems engineeringunified representationsintelligent robotics

Model Free Method of Screening Training Data for Adversarial Datapoints Through Local Lipschitz Quotient Analysis. IEEE Robotics and Automation Letters (2024)

Emily KamienskiHarry Asada

automationtraining datarobotics automationroboticssystems engineeringadversarial datapointsmodel free method

Supernumerary Robotic Limbs to Support Post-Fall Recoveries for Astronauts. (2024)

Erik BallesterosSang-Yoep LeeKalind C. CarpenterH. Harry Asada

Tip-Clutching Winch for High Tensile Force Application With Soft Growing Robots. (2024)

O. Godson OseleKentaro BarhydtNicholas CeroneAllison M. OkamuraH. Harry Asada

tip-clutching winchsoft roboticsmechanical engineering

A High-Strength, Highly-Flexible Robotic Strap for Harnessing, Lifting, and Transferring Humans. IEEE Robotics and Automation Letters (2023)

Kentaro BarhydtH. Harry Asada

A Koopman-Based Reduced-Order Observer Using Measurable Visual Image Observables. (2023)

Jadal WilliamsHaruhiko Harry Asada

computer scienceobserver designpattern recognitionmachine learningcomputer visionmachine vision

Hiroki AsadaAsada Minagawa

environmental engineeringenvironmental sciencerisk managementaso regionsurface collapse riskearth science

Data-Driven Encoding: A New Numerical Method for Computation of the Koopman Operator. IEEE Robotics and Automation Letters (2023)

Jerry NgH. Harry Asada

computer sciencedata-driven encodingnumerical computationdata sciencekoopman operatornumerical analysis

1
2
3
4
5
59
10 / page

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biomimetic material

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