b'Claire Tomlin'

research

∙ 07/14/2023

Linking vision and motion for self-supervised object-centric perception

Object-centric representations enable autonomous driving algorithms to r...

0 Kaylene C. Stocking, et al. ∙

research

∙ 01/04/2023

Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories

In multi-agent dynamic games, the Nash equilibrium state trajectory of e...

0 Jingqi Li, et al. ∙

research

∙ 12/01/2022

Multi-Task Imitation Learning for Linear Dynamical Systems

We study representation learning for efficient imitation learning over l...

0 Thomas T. Zhang, et al. ∙

research

∙ 06/21/2022

Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control

Learned models and policies can generalize effectively when evaluated wi...

0 Katie Kang, et al. ∙

research

∙ 01/18/2022

Inducing Structure in Reward Learning by Learning Features

Reward learning enables robots to learn adaptable behaviors from human i...

0 Andreea Bobu, et al. ∙

research

∙ 11/27/2021

Learning from learning machines: a new generation of AI technology to meet the needs of science

We outline emerging opportunities and challenges to enhance the utility ...

26 Luca Pion-Tonachini, et al. ∙

research

∙ 09/22/2021

Incorporating Data Uncertainty in Object Tracking Algorithms

Methodologies for incorporating the uncertainties characteristic of data...

0 Anish Muthali, et al. ∙

research

∙ 09/15/2021

Multi-Task Learning with Sequence-Conditioned Transporter Networks

Enabling robots to solve multiple manipulation tasks has a wide range of...

43 Michael H. Lim, et al. ∙

research

∙ 01/08/2021

The Computation of Approximate Generalized Feedback Nash Equilibria

We present the concept of a Generalized Feedback Nash Equilibrium (GFNE)...

0 Forrest Laine, et al. ∙

research

∙ 11/11/2020

Multi-Hypothesis Interactions in Game-Theoretic Motion Planning

We present a novel method for handling uncertainty about the intentions ...

0 Forrest Laine, et al. ∙

research

∙ 11/11/2020

Testing for Typicality with Respect to an Ensemble of Learned Distributions

Methods of performing anomaly detection on high-dimensional data sets ar...

0 Forrest Laine, et al. ∙

research

∙ 11/04/2020

DeepReach: A Deep Learning Approach to High-Dimensional Reachability

Hamilton-Jacobi (HJ) reachability analysis is an important formal verifi...

0 Somil Bansal, et al. ∙

research

∙ 10/26/2020

Expert Selection in High-Dimensional Markov Decision Processes

In this work we present a multi-armed bandit framework for online expert...

8 Vicenc Rubies Royo, et al. ∙

research

∙ 06/23/2020

Feature Expansive Reward Learning: Rethinking Human Input

In collaborative human-robot scenarios, when a person is not satisfied w...

0 Andreea Bobu, et al. ∙

research

∙ 03/20/2020

Visual Navigation Among Humans with Optimal Control as a Supervisor

Real world navigation requires robots to operate in unfamiliar, dynamic ...

5 Varun Tolani, et al. ∙

research

∙ 12/20/2019

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

In Bansal et al. (2019), a novel visual navigation framework that combin...

20 Anjian Li, et al. ∙

research

∙ 11/16/2019

Design of the First Insect-scale Spinning-wing Robot

Here we present the design of an insect-scale microrobot that generates ...

0 Palak Bhushan, et al. ∙

research

∙ 08/09/2019

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

Here we report the construction of the simplest transmission mechanism e...

0 Palak Bhushan, et al. ∙

research

∙ 08/09/2019

Design of the first sub-milligram flapping wing aerial vehicle

Here we report the first sub-milligram flapping wing vehicle which is ab...

0 Palak Bhushan, et al. ∙

research

∙ 08/08/2019

An Insect-scale Self-sufficient Rolling Microrobot

We design an insect-sized rolling microrobot driven by continuously rota...

0 Palak Bhushan, et al. ∙

research

∙ 08/08/2019

An Insect-scale Untethered Laser-powered Jumping Microrobot

We present the design of an insect-sized jumping microrobot measuring 17...

0 Palak Bhushan, et al. ∙

research

∙ 03/06/2019

Combining Optimal Control and Learning for Visual Navigation in Novel Environments

Model-based control is a popular paradigm for robot navigation because i...

10 Somil Bansal, et al. ∙

research

∙ 02/20/2019

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

Electronic power inverters are capable of quickly delivering reactive po...

0 Oscar Sondermeijer, et al. ∙

research

∙ 02/19/2019

Fast Neural Network Verification via Shadow Prices

To use neural networks in safety-critical settings it is paramount to pr...

0 Vicenc Rubies Royo, et al. ∙

research

∙ 09/27/2018

A Successive-Elimination Approach to Adaptive Robotic Sensing

We study the adaptive sensing problem for the multiple source seeking pr...

2 Esther Rolf, et al. ∙

research

∙ 09/17/2018

The Parallelization of Riccati Recursion

A method is presented for parallelizing the computation of solutions to ...

0 Forrest Laine, et al. ∙

research

∙ 06/15/2018

Customized Local Differential Privacy for Multi-Agent Distributed Optimization

Real-time data-driven optimization and control problems over networks ma...

0 Roel Dobbe, et al. ∙

research

∙ 06/14/2018

Data-Driven Decentralized Optimal Power Flow

The implementation of optimal power flow (OPF) methods to perform voltag...

0 Roel Dobbe, et al. ∙

research

∙ 10/24/2017

A Sequential Approximation Framework for Coded Distributed Optimization

Building on the previous work of Lee et al. and Ferdinand et al. on code...

0 Jingge Zhu, et al. ∙

research

∙ 09/10/2017

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

Reinforcement Learning is divided in two main paradigms: model-free and ...

0 Somil Bansal, et al. ∙

research

∙ 07/20/2017

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

Learning cooperative policies for multi-agent systems is often challenge...

0 Roel Dobbe, et al. ∙

Claire Tomlin

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