Zobrazeno 1 - 10
of 1 487
pro vyhledávání: '"Faroni A"'
Publikováno v:
IEEE ETFA 2024
The collaboration between humans and robots re-quires a paradigm shift not only in robot perception, reasoning, and action, but also in the design of the robotic cell. This paper proposes an optimization framework for designing collaborative robotics
Externí odkaz:
http://arxiv.org/abs/2410.14298
Autor:
Saini J, Faroni A, Abd Al Samid M, Reid AJ, Lightfoot AP, Mamchaoui K, Mouly V, Butler-Browne G, McPhee JS, Degens H, Al-Shanti N
Publikováno v:
Stem Cells and Cloning: Advances and Applications, Vol Volume 12, Pp 1-9 (2019)
Jasdeep Saini,1 Alessandro Faroni,2,3 Marwah Abd Al Samid,1 Adam J Reid,2,3 Adam P Lightfoot,1 Kamel Mamchaoui,4 Vincent Mouly,4 Gillian Butler-Browne,4 Jamie S McPhee,5 Hans Degens,1,6,7 Nasser Al-Shanti1 1Musculoskeletal Science & Sports Medicine R
Externí odkaz:
https://doaj.org/article/b15e2d87a155441f8a08030513604d96
Autor:
Faroni, Marco, Berenson, Dmitry
Publikováno v:
IEEE International Conference on Robotics and Automation, 2024
Robotic manipulation relies on analytical or learned models to simulate the system dynamics. These models are often inaccurate and based on offline information, so that the robot planner is unable to cope with mismatches between the expected and the
Externí odkaz:
http://arxiv.org/abs/2403.07638
Autor:
Faroni, Marco, Berenson, Dmitry
Kinodynamic motion planners allow robots to perform complex manipulation tasks under dynamics constraints or with black-box models. However, they struggle to find high-quality solutions, especially when a steering function is unavailable. This paper
Externí odkaz:
http://arxiv.org/abs/2308.13949
Publikováno v:
IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2023
This paper addresses human-robot collaboration (HRC) challenges of integrating predictions of human activity to provide a proactive-n-reactive response capability for the robot. Prior works that consider current or predicted human poses as static obs
Externí odkaz:
http://arxiv.org/abs/2307.03909
Autor:
Faroni, Marco, Umbrico, Alessandro, Beschi, Manuel, Orlandini, Andrea, Cesta, Amedeo, Pedrocchi, Nicola
Combining symbolic and geometric reasoning in multi-agent systems is a challenging task that involves planning, scheduling, and synchronization problems. Existing works overlooked the variability of task duration and geometric feasibility that is int
Externí odkaz:
http://arxiv.org/abs/2303.14874
The ease of use of robot programming interfaces represents a barrier to robot adoption in several manufacturing sectors because of the need for more expertise from the end-users. Current robot programming methods are mostly the past heritage, with ro
Externí odkaz:
http://arxiv.org/abs/2303.02340
A good estimation of the actions' cost is key in task planning for human-robot collaboration. The duration of an action depends on agents' capabilities and the correlation between actions performed simultaneously by the human and the robot. This pape
Externí odkaz:
http://arxiv.org/abs/2210.11660
Human awareness in robot motion planning is crucial for seamless interaction with humans. Many existing techniques slow down, stop, or change the robot's trajectory locally to avoid collisions with humans. Although using the information on the human'
Externí odkaz:
http://arxiv.org/abs/2210.11655
This paper improves the performance of RRT$^*$-like sampling-based path planners by combining admissible informed sampling and local sampling (i.e., sampling the neighborhood of the current solution). An adaptive strategy regulates the trade-off betw
Externí odkaz:
http://arxiv.org/abs/2208.09318