3 papers
cs.RO2026
Towards safe and optimal flight: Viability Kernel MPC for Fully Actuated Multirotor
Massimiliano Bertoni, Alberto Piccina, Gianni Lunardi +4
Industrial aerial robotics demands safety guarantees for navigation in unstructured environments while optimizing performance and computational efficiency. This paper presents a me…
cs.RO2026
CACTO-BIC: Scalable Actor-Critic Learning via Biased Sampling and GPU-Accelerated Trajectory Optimization
Elisa Alboni, Pietro Noah Crestaz, Elias Fontanari +1
Trajectory Optimization (TO) and Reinforcement Learning (RL) offer complementary strengths for solving optimal control problems. TO efficiently computes locally optimal solutions b…
cs.RO2025
Parallel-Constraint Model Predictive Control: Exploiting Parallel Computation for Improving Safety
Elias Fontanari, Gianni Lunardi, Matteo Saveriano +1
Ensuring constraint satisfaction is a key requirement for safety-critical systems, which include most robotic platforms. For example, constraints can be used for modeling joint pos…