Learning to View: Decision Transformers for Active Object Detection

no code implementations • 23 Jan 2023 • Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen

Active perception describes a broad class of techniques that couple planning and perception systems to move the robot in a way to give the robot more information about the environment.

Active Object Detection Motion Planning +5

Flow-FL: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems

no code implementations • 16 Oct 2020 • Nathalie Majcherczyk, Nishan Srishankar, Carlo Pinciroli

In both variants, we use a data-driven mechanism to synchronize the learning process in which robots contribute model updates when they collect sufficient data.

Federated Learning Trajectory Forecasting

Decentralized Connectivity-Preserving Deployment of Large-Scale Robot Swarms

no code implementations • 1 Jun 2018 • Nathalie Majcherczyk, Adhavan Jayabalan, Giovanni Beltrame, Carlo Pinciroli

We present a decentralized and scalable approach for deployment of a robot swarm.

Robotics Multiagent Systems