Zobrazeno 1 - 10
of 3 321
pro vyhledávání: '"P. Del Prete"'
Autor:
Del Prete, Roberto, Salvoldi, Manuel, Barretta, Domenico, Longépé, Nicolas, Meoni, Gabriele, Karnieli, Arnon, Graziano, Maria Daniela, Renga, Alfredo
Satellite-based onboard data processing is crucial for time-sensitive applications requiring timely and efficient rapid response. Advances in edge artificial intelligence are shifting computational power from ground-based centers to on-orbit platform
Externí odkaz:
http://arxiv.org/abs/2411.03403
We propose a hybrid formulation of the linear inverted pendulum model for bipedal locomotion, where the foot switches are triggered based on the center of mass position, removing the need for pre-defined footstep timings. Using a concept similar to r
Externí odkaz:
http://arxiv.org/abs/2405.02184
Autor:
Focchi, Michele, Del Prete, Andrea, Fontanelli, Daniele, Frego, Marco, Peer, Angelika, Palopoli, Luigi
Mountain slopes are perfect examples of harsh environments in which humans are required to perform difficult and dangerous operations such as removing unstable boulders, dangerous vegetation or deploying safety nets. A good replacement for human inte
Externí odkaz:
http://arxiv.org/abs/2403.15142
Autor:
Del Prete, Andrea
In the homogeneous manifold $\mathbb{E}(-1,\tau),$ for $0
Externí odkaz:
http://arxiv.org/abs/2402.07274
Autor:
Alboni, Elisa, Grandesso, Gianluigi, Papini, Gastone Pietro Rosati, Carpentier, Justin, Del Prete, Andrea
Trajectory Optimization (TO) and Reinforcement Learning (RL) are powerful and complementary tools to solve optimal control problems. On the one hand, TO can efficiently compute locally-optimal solutions, but it tends to get stuck in local minima if t
Externí odkaz:
http://arxiv.org/abs/2312.10666
We present a clear and practical way to characterize the parabolicity of a complete immersed surface that is invariant with respect to a Killing vector field of the ambient space.
Comment: 12 pages, 2 figures
Comment: 12 pages, 2 figures
Externí odkaz:
http://arxiv.org/abs/2312.02837
Publikováno v:
"Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set," 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 11626-11632
In recent years, advanced model-based and data-driven control methods are unlocking the potential of complex robotics systems, and we can expect this trend to continue at an exponential rate in the near future. However, ensuring safety with these adv
Externí odkaz:
http://arxiv.org/abs/2309.11124
Publikováno v:
Sensors 2024, 24(15), 4981
In this work, we consider the complex control problem of making a monopod reach a target with a jump. The monopod can jump in any direction and the terrain underneath its foot can be uneven. This is a template of a much larger class of problems, whic
Externí odkaz:
http://arxiv.org/abs/2309.07038
Trajectory optimization under uncertainties is a challenging problem for robots in contact with the environment. Such uncertainties are inevitable due to estimation errors, control imperfections, and model mismatches between planning models used for
Externí odkaz:
http://arxiv.org/abs/2309.04469
Autor:
Mauro Passari, Sara Scutera, Tiziana Schioppa, Laura Tiberio, Silvia Piantoni, Nicola Tamassia, Mattia Bugatti, William Vermi, Fabrizio Angeli, Alessia Caproli, Valentina Salvi, Francesca Sozio, Angela Gismondi, Helena Stabile, Franco Franceschini, Daniela Bosisio, Francesco Acquati, Sonja Vermeren, Silvano Sozzani, Laura Andreoli, Annalisa Del Prete, Tiziana Musso
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Neutrophils (PMNs) are key players of innate immune responses through the release of cytoplasmic granule content and the formation of neutrophil extracellular traps (NETs). RNASET2 is an acidic ribonuclease, recently proposed as an alarmin s
Externí odkaz:
https://doaj.org/article/e4b2e1f59ea64da8b559451b07ecb0e2
