Publications

Mean–field moral hazard for optimal energy demand response management

Elie, Romuald & Hubert, Emma & Mastrolia, Thibaut & Possamaï, Dylan. (2019). Mean-field moral hazard for optimal energy demand response management.

Deep Learning Can Significantly Accelerate Grasp-Optimized Motion Planning

Deep Learning Can Significantly Accelerate Grasp-Optimized Motion Planning. Jeffrey Ichnowski, Yahav Avigal, Vishal Satish, Ken Goldberg. Science Robotics Journal. V5(48), 18 Nov 2020. [Paper] [Video].

Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects

Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects Mike Danielczuk*, Ashwin Balakrishna*, Daniel Brown, Shivin Devgon, Ken Goldberg. Conference on Robot Learning (CoRL), Online MIT, Cambridge, MA, Nov 2020. [Paper] [5min Video] [Website].

Untangling Dense Knots by Learning Task-Relevant Keypoints

Untangling Dense Knots by Learning Task-Relevant Keypoints. Jennifer Grannen*, Priya Sundaresan*, Brijen Thananjeyan, Jeff Ichnowski, Ashwin Balakrishna, Vainavi Viswanath, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg. Conference on Robot Learning (CoRL), Online MIT, Cambridge, MA, Nov 2020. [Paper] [5min Video] [Website]

Uniqueness of Power Flow Solutions Using Graph-theoretic Notions

Zhang, Haixiang & Park, Sangwoo & Lavaei, Javad & Baldick, R.. (2020). Uniqueness of Power Flow Solutions Using Graph-theoretic Notions.

Data-driven framework for large-scale prediction of charging energy in electric vehicles

Zhao, Yang & Wang, Zhenpo & Shen, Max & Sun, Fengchun. (2021). Data-driven framework for large-scale prediction of charging energy in electric vehicles. Applied Energy. 282. 116175. 10.1016/j.apenergy.2020.116175.

AHEAD : Ad-Hoc Electronic Auction Design

Derchu, Joffrey & Guillot, Philippe & Mastrolia, Thibaut & Rosenbaum, Mathieu. (2020). AHEAD : Ad-Hoc Electronic Auction Design.

Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow

Julie Mulvaney-Kemp, Salar Fattahi, and Javad Lavaei, Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow, conditionally accepted for IEEE Transactions on Control of Network Systems, 2020.

Conic Optimization for Quadratic Regression Under Sparse Noise

Molybog, Ramtin Madani, and Javad Lavaei. Conic Optimization for Quadratic Regression Under Sparse Noise. Journal of Machine Learning Research. https://www.jmlr.org/papers/v21/18-881.html.

Simulating Polyculture Farming to Tune Automation Policies for Plant Diversity and Precision Irrigation

Simulating Polyculture Farming to Tune Automation Policies for Plant Diversity and Precision Irrigation. Yahav Avigal, William Wong, Jensen Gao, Kevin Li, Mark Theis, Mark Preston, Grady Pierroz, Fang Shuo Deng, Ken Goldberg. Winner of Best Student Paper Award. 2020 IEEE Conference on Automation Science and Engineering (CASE), Online (Hong Kong) Aug 20-21, 2020. [Paper] [Presentation Video (15 mins)]