Sayantan Auddy — accepted AI-conference papers

2026

CrazyMARL: Decentralized Direct Motor Control Policies for Cooperative Aerial Transport of Cable-Suspended Payloads

Viktor Lorentz, Khaled Wahba, Sayantan Auddy, Marc Toussaint, Wolfgang Hoenig

ICRA 2026poster

Collaborative transportation of cable-suspended payloads by teams of Unmanned Aerial Vehicles (UAVs) has the potential to enhance payload capacity, adapt to different payload shapes, and provide built-in compliance, making it attractive for applications ranging from disaster relief to precision logi…

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2024

Continual Domain Randomization

Josip Josifovski, Sayantan Auddy, Mohammadhossein Malmir, Justus Piater, Alois Knoll, Nicolás Navarro-Guerrero

IROS 2024poster

Domain Randomization (DR) is commonly used for sim2real transfer of reinforcement learning (RL) policies in robotics. Most DR approaches require a simulator with a fixed set of tunable parameters from the start of the training, from which the parameters are randomized simultaneously to train a robus…

Cited by 2 Source ↗code ↗Scholar ↗