Faculty

Institution

Unit

Venue

Somil Bansal

Assistant Professor

University of Southern California

Affiliations

School of Engineering

Ming Hsieh Department of Electrical and Computer Engineering

Somil Bansal is currently serving as a Ming Electrical And Computer Engineering Assistant Professor at University of Southern California.

Honors

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Experiences

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Education

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Somil Bansal

University of Southern California

Assistant Professor

You can click a keyword to filter the displayed items

systems engineering machine learning robotics computer science safety automatic control control systems reachability analysis deep learning aerospace engineering electrical engineering computer vision vehicular technology control optimization trajectory planning vehicle control unmanned aerial vehicles control system technology robust control path planning safety assurances artificial intelligence power electronics active control aerial robotics learning control reachability problem control engineering control technology model predictive control intelligent control control science intelligent robotics hamilton-jacobi reachability reachable sets modular framework bayesian optimization high-dimensional reachability adversarial intruder voltage control optimal control visual navigation imperfect information computational intelligence machine vision system safety field robotics computational optimization robot learning autonomous robots mobility intelligent robot aeronautics flight control autonomous navigation control system security power engineering motion control guidance system movement analysis autonomous learning supervised learning secure routing case studies transportation planning robust routing safety control adversarial machine learning ai safety trajectory optimization brief overview neural network quadrotor dynamics safe autonomous navigation unknown environments

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers. arXiv (Cornell University) (2024)

Aryaman GuptaKaustav ChakrabortySomil Bansal

systems engineeringvision-based controllerssystem-level anomaliescomputer visionfault detection

Gait Switching and Enhanced Stabilization of Walking Robots With Deep Learning-Based Reachability: A Case Study on Two-Link Walker. arXiv (Cornell University) (2024)

Xingpeng XiaJason J. ChoiAyush AgrawalKoushil SreenathClaire J. TomlinSomil Bansal

autonomous robotsmotor controlwearable technologybiomechanicsmobilitytwo-link walkergait switchingroboticsbiomedical engineeringenhanced stabilizationbipedal locomotionrehabilitationdeep learning-based reachabilitybio-inspired roboticsrobot learninghuman movementkinesiologyintelligent robotactive controlrehabilitation roboticsgait analysisintelligent robotics

On Safety and Liveness Filtering Using Hamilton-Jacobi Reachability Analysis. IEEE Transactions on Robotics (2024)

Javier BorquezKaustav ChakrabortyHao WangSomil Bansal

systems engineeringapplied mathematicshamilton-jacobi reachability analysismachine learningreachability analysissafety

Providing Safety Assurances for Systems With Unknown Dynamics. IEEE Control Systems Letters (2024)

Hao WangJavier BorquezSomil Bansal

safety assurancescontrol systemssystems engineeringunknown dynamics

Discovering Closed-Loop Failures of Vision-Based Controllers via Reachability Analysis. IEEE Robotics and Automation Letters (2023)

Kaustav ChakrabortySomil Bansal

systems engineeringroboticsvision-based controllersmachine learningreachability analysisclosed-loop failuresdeep learning

Generating Formal Safety Assurances for High-Dimensional Reachability. (2023)

Albert LinSomil Bansal

systems engineeringformal safety assuranceshigh-dimensional reachabilitysafetydeep learning

Online Update of Safety Assurances Using Confidence-Based Predictions. (2023)

Kensuke NakamuraSomil Bansal

systems engineeringmachine learningonline updatesafety assurancesconfidence-based predictions

Parameter-Conditioned Reachable Sets for Updating Safety Assurances Online. (2023)

Javier BorquezKensuke NakamuraSomil Bansal

applied mathematicsreachability problemreachability analysisparameter-conditioned reachable setsformal methodssafety assurances

Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots. IEEE Robotics and Automation Letters (2022)

Jason J. ChoiAyush AgrawalKoushil SreenathClaire J. TomlinSomil Bansal

hybrid limit cyclesroboticsengineering

DEEPREACH: A Deep Learning Approach to High-Dimensional Reachability. IEEE International Conference on Robotics and Automation (2021)

Somil BansalClaire J. Tomlin

deep learninghigh-dimensional reachabilitycomputer sciencemachine learning

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Somil Bansal

Assistant Professor

University of Southern California

Affiliations

School of Engineering

Ming Hsieh Department of Electrical and Computer Engineering

Somil Bansal is currently serving as a Ming Electrical And Computer Engineering Assistant Professor at University of Southern California.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Somil Bansal

University of Southern California

Assistant Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers. arXiv (Cornell University) (2024)

Aryaman GuptaKaustav ChakrabortySomil Bansal

systems engineeringvision-based controllerssystem-level anomaliescomputer visionfault detection

Gait Switching and Enhanced Stabilization of Walking Robots With Deep Learning-Based Reachability: A Case Study on Two-Link Walker. arXiv (Cornell University) (2024)

Xingpeng XiaJason J. ChoiAyush AgrawalKoushil SreenathClaire J. TomlinSomil Bansal

On Safety and Liveness Filtering Using Hamilton-Jacobi Reachability Analysis. IEEE Transactions on Robotics (2024)

Javier BorquezKaustav ChakrabortyHao WangSomil Bansal

systems engineeringapplied mathematicshamilton-jacobi reachability analysismachine learningreachability analysissafety

Providing Safety Assurances for Systems With Unknown Dynamics. IEEE Control Systems Letters (2024)

Hao WangJavier BorquezSomil Bansal

safety assurancescontrol systemssystems engineeringunknown dynamics

Discovering Closed-Loop Failures of Vision-Based Controllers via Reachability Analysis. IEEE Robotics and Automation Letters (2023)

Kaustav ChakrabortySomil Bansal

systems engineeringroboticsvision-based controllersmachine learningreachability analysisclosed-loop failuresdeep learning

Generating Formal Safety Assurances for High-Dimensional Reachability. (2023)

Albert LinSomil Bansal

systems engineeringformal safety assuranceshigh-dimensional reachabilitysafetydeep learning

Online Update of Safety Assurances Using Confidence-Based Predictions. (2023)

Kensuke NakamuraSomil Bansal

systems engineeringmachine learningonline updatesafety assurancesconfidence-based predictions

Parameter-Conditioned Reachable Sets for Updating Safety Assurances Online. (2023)

Javier BorquezKensuke NakamuraSomil Bansal

applied mathematicsreachability problemreachability analysisparameter-conditioned reachable setsformal methodssafety assurances

Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots. IEEE Robotics and Automation Letters (2022)

Jason J. ChoiAyush AgrawalKoushil SreenathClaire J. TomlinSomil Bansal

hybrid limit cyclesroboticsengineering

DEEPREACH: A Deep Learning Approach to High-Dimensional Reachability. IEEE International Conference on Robotics and Automation (2021)

Somil BansalClaire J. Tomlin

deep learninghigh-dimensional reachabilitycomputer sciencemachine learning

1
2
3
4
10 / page

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