b'Claire Tomlin'

The Computation of Approximate Generalized Feedback Nash Equilibria

We present the concept of a Generalized Feedback Nash Equilibrium (GFNE)...
01/08/2021 ∙ by Forrest Laine, et al. ∙ 0 ∙ share

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Multi-Hypothesis Interactions in Game-Theoretic Motion Planning

We present a novel method for handling uncertainty about the intentions ...
11/11/2020 ∙ by Forrest Laine, et al. ∙ 0 ∙ share

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Testing for Typicality with Respect to an Ensemble of Learned Distributions

Methods of performing anomaly detection on high-dimensional data sets ar...
11/11/2020 ∙ by Forrest Laine, et al. ∙ 0 ∙ share

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DeepReach: A Deep Learning Approach to High-Dimensional Reachability

Hamilton-Jacobi (HJ) reachability analysis is an important formal verifi...
11/04/2020 ∙ by Somil Bansal, et al. ∙ 0 ∙ share

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Expert Selection in High-Dimensional Markov Decision Processes

In this work we present a multi-armed bandit framework for online expert...
10/26/2020 ∙ by Vicenc Rubies Royo, et al. ∙ 8 ∙ share

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Feature Expansive Reward Learning: Rethinking Human Input

In collaborative human-robot scenarios, when a person is not satisfied w...
06/23/2020 ∙ by Andreea Bobu, et al. ∙ 0 ∙ share

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Visual Navigation Among Humans with Optimal Control as a Supervisor

Real world navigation requires robots to operate in unfamiliar, dynamic ...
03/20/2020 ∙ by Varun Tolani, et al. ∙ 5 ∙ share

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Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability

In Bansal et al. (2019), a novel visual navigation framework that combin...
12/20/2019 ∙ by Anjian Li, et al. ∙ 20 ∙ share

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Design of the First Insect-scale Spinning-wing Robot

Here we present the design of an insect-scale microrobot that generates ...
11/16/2019 ∙ by Palak Bhushan, et al. ∙ 0 ∙ share

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New Wing Stroke and Wing Pitch Approaches for Milligram-scale Aerial Devices

Here we report the construction of the simplest transmission mechanism e...
08/09/2019 ∙ by Palak Bhushan, et al. ∙ 0 ∙ share

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Design of the first sub-milligram flapping wing aerial vehicle

Here we report the first sub-milligram flapping wing vehicle which is ab...
08/09/2019 ∙ by Palak Bhushan, et al. ∙ 0 ∙ share

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An Insect-scale Self-sufficient Rolling Microrobot

We design an insect-sized rolling microrobot driven by continuously rota...
08/08/2019 ∙ by Palak Bhushan, et al. ∙ 0 ∙ share

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An Insect-scale Untethered Laser-powered Jumping Microrobot

We present the design of an insect-sized jumping microrobot measuring 17...
08/08/2019 ∙ by Palak Bhushan, et al. ∙ 0 ∙ share

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Combining Optimal Control and Learning for Visual Navigation in Novel Environments

Model-based control is a popular paradigm for robot navigation because i...
03/06/2019 ∙ by Somil Bansal, et al. ∙ 10 ∙ share

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Regression-based Inverter Control for Decentralized Optimal Power Flow and Voltage Regulation

Electronic power inverters are capable of quickly delivering reactive po...
02/20/2019 ∙ by Oscar Sondermeijer, et al. ∙ 0 ∙ share

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Fast Neural Network Verification via Shadow Prices

To use neural networks in safety-critical settings it is paramount to pr...
02/19/2019 ∙ by Vicenc Rubies Royo, et al. ∙ 0 ∙ share

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A Successive-Elimination Approach to Adaptive Robotic Sensing

We study the adaptive sensing problem for the multiple source seeking pr...
09/27/2018 ∙ by Esther Rolf, et al. ∙ 2 ∙ share

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The Parallelization of Riccati Recursion

A method is presented for parallelizing the computation of solutions to ...
09/17/2018 ∙ by Forrest Laine, et al. ∙ 0 ∙ share

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Customized Local Differential Privacy for Multi-Agent Distributed Optimization

Real-time data-driven optimization and control problems over networks ma...
06/15/2018 ∙ by Roel Dobbe, et al. ∙ 0 ∙ share

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Data-Driven Decentralized Optimal Power Flow

The implementation of optimal power flow (OPF) methods to perform voltag...
06/14/2018 ∙ by Roel Dobbe, et al. ∙ 0 ∙ share

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A Sequential Approximation Framework for Coded Distributed Optimization

Building on the previous work of Lee et al. and Ferdinand et al. on code...
10/24/2017 ∙ by Jingge Zhu, et al. ∙ 0 ∙ share

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MBMF: Model-Based Priors for Model-Free Reinforcement Learning

Reinforcement Learning is divided in two main paradigms: model-free and ...
09/10/2017 ∙ by Somil Bansal, et al. ∙ 0 ∙ share

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Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach

Learning cooperative policies for multi-agent systems is often challenge...
07/20/2017 ∙ by Roel Dobbe, et al. ∙ 0 ∙ share

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Claire Tomlin

Featured Co-authors

Sergey Levine

Jitendra Malik

Benjamin Recht

Anca D. Dragan

Kannan Ramchandran

Roberto Calandra

S. Shankar Sastry

Max Simchowitz

Saurabh Gupta

Aleksandra Faust

David Fridovich-Keil

The Computation of Approximate Generalized Feedback Nash Equilibria

Multi-Hypothesis Interactions in Game-Theoretic Motion Planning

Testing for Typicality with Respect to an Ensemble of Learned Distributions

DeepReach: A Deep Learning Approach to High-Dimensional Reachability

Expert Selection in High-Dimensional Markov Decision Processes

Feature Expansive Reward Learning: Rethinking Human Input

Visual Navigation Among Humans with Optimal Control as a Supervisor

Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability

Design of the First Insect-scale Spinning-wing Robot

New Wing Stroke and Wing Pitch Approaches for Milligram-scale Aerial Devices

Design of the first sub-milligram flapping wing aerial vehicle

An Insect-scale Self-sufficient Rolling Microrobot

An Insect-scale Untethered Laser-powered Jumping Microrobot

Combining Optimal Control and Learning for Visual Navigation in Novel Environments

Regression-based Inverter Control for Decentralized Optimal Power Flow and Voltage Regulation

Fast Neural Network Verification via Shadow Prices

A Successive-Elimination Approach to Adaptive Robotic Sensing

The Parallelization of Riccati Recursion

Customized Local Differential Privacy for Multi-Agent Distributed Optimization

Data-Driven Decentralized Optimal Power Flow

A Sequential Approximation Framework for Coded Distributed Optimization

MBMF: Model-Based Priors for Model-Free Reinforcement Learning

Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach