activity
20182026
most citedFast Approximate Clearance Evaluation for Rovers with Articulated Suspension Systems

48 citations · 70 across the 6 of their papers we have counts for

collaborators

6 papers

stat.AP2026

Impact of Residential Retrofits on Gas and Electricity Consumption in France

Charly Andral, Laetitia Leduc, Guillaume Matheron +1

This study examines the impact of residential energy retrofits on household energy consumption in France using smart meter data from nearly 2,500 Hello Watt users, using a two-peri…

cs.LG2023

Occupancy Detection Based on Electricity Consumption

Thomas Brilland, Guillaume Matheron, Laetitia Leduc +1

This article presents a new methodology for extracting intervals when a home is vacant from low-frequency electricity consumption data. The approach combines multiple algorithms, i…

eess.SP2022

Domain Knowledge Aids in Signal Disaggregation; the Example of the Cumulative Water Heater

Alexander Belikov, Guillaume Matheron, Johan Sassi

In this article we present an unsupervised low-frequency method aimed at detecting and disaggregating the power used by Cumulative Water Heaters (CWH) in residential homes. Our mod…

cs.RO2020★ 3 cited

PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning

Guillaume Matheron, Nicolas Perrin, Olivier Sigaud

The exploration-exploitation trade-off is at the heart of reinforcement learning (RL). However, most continuous control benchmarks used in recent RL research only require local exp…

cs.LG2019★ 19 cited

The problem with DDPG: understanding failures in deterministic environments with sparse rewards

Guillaume Matheron, Nicolas Perrin, Olivier Sigaud

In environments with continuous state and action spaces, state-of-the-art actor-critic reinforcement learning algorithms can solve very complex problems, yet can also fail in envir…

cs.RO2018★ 48 cited

Fast Approximate Clearance Evaluation for Rovers with Articulated Suspension Systems

Kyohei Otsu, Guillaume Matheron, Sourish Ghosh +2

We present a light-weight body-terrain clearance evaluation algorithm for the automated path planning of NASA's Mars 2020 rover. Extraterrestrial path planning is challenging due t…