4 papers · 1 filter
WasserMan: Benchmark for Underwater Manipulation Policy Learning
Danil Belov, Artem Erkhov, Sergei Parsegov +1
Underwater manipulation couples visual decisions, contact forces and a thruster-controlled floating base. We introduce WasserMan, to our knowledge the first multi-task simulation b…
Low-Cost Teleoperation Extension for Mobile Manipulators
Danil Belov, Artem Erkhov, Yaroslav Savotin +3
Teleoperation of mobile bimanual manipulators requires simultaneous control of high-dimensional systems, often necessitating expensive specialized equipment. We present an open-sou…
Diversity-Aware Adaptive Collocation for Physics-Informed Neural Networks via Sparse QUBO Optimization and Hybrid Coresets
Hadi Salloum, Maximilian Mifsud Bonici, Sinan Ibrahim +2
Physics-Informed Neural Networks (PINNs) enforce governing equations by penalizing PDE residuals at interior collocation points, but standard collocation strategies - uniform sampl…
Incremental Mapping with Measurement Synchronization & Compression
Mark Griguletskii, Danil Belov, Pavel Osinenko
Modern autonomous vehicles and robots utilize versatile sensors for localization and mapping. The fidelity of these maps is paramount, as an accurate environmental representation i…