Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Michele Colledanchise"'
Autor:
Luca Nobile, Marco Randazzo, Michele Colledanchise, Luca Monorchio, Wilson Villa, Francesco Puja, Lorenzo Natale
Publikováno v:
Actuators, Vol 10, Iss 9, p 205 (2021)
Conventional approaches to robot navigation in unstructured environments rely on information acquired from the LiDAR mounted on the robot base to detect and avoid obstacles. This approach fails to detect obstacles that are too small, or that are invi
Externí odkaz:
https://doaj.org/article/41aeed652dd14d66a8b81964c428ed10
Autor:
Enrico Ghiorzi, Michele Colledanchise, Gianluca Piquet, Stefano Bernagozzi, Armando Tacchella, Lorenzo Natale
Publikováno v:
IEEE Robotics and Automation Letters. 8:2930-2937
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ad4cc498169f1c32f77c970c8925f79
https://doi.org/10.1109/lra.2023.3263368
https://doi.org/10.1109/lra.2023.3263368
Autor:
Lorenzo Natale, Michele Colledanchise, Luca Monorchio, Wilson Villa, Marco Randazzo, Francesco Puja, Luca Nobile
Publikováno v:
Actuators
Volume 10
Issue 9
Actuators, Vol 10, Iss 205, p 205 (2021)
Volume 10
Issue 9
Actuators, Vol 10, Iss 205, p 205 (2021)
Conventional approaches to robot navigation in unstructured environments rely on information acquired from the LiDAR mounted on the robot base to detect and avoid obstacles. This approach fails to detect obstacles that are too small, or that are invi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61c44c3f219794a29e53f83d28a0900a
Recent visual pose estimation and tracking solutions provide notable results on popular datasets such as T-LESS and YCB. However, in the real world, we can find ambiguous objects that do not allow exact classification and detection from a single view
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db3df89207595d4c809bb67f857a3caf
http://arxiv.org/abs/2108.00737
http://arxiv.org/abs/2108.00737
Autor:
Lorenzo Natale, Michele Colledanchise
There is a growing interest in Behavior Trees (BTs) as a tool to describe and implement robot behaviors. BTs were devised in the video game industry and their adoption in robotics resulted in the development of ad-hoc libraries to design and execute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c4a544f116e4a808145a4050d6ec59c
http://arxiv.org/abs/2106.15227
http://arxiv.org/abs/2106.15227
Autor:
Michele Colledanchise
Robots applications in our daily life increase at an unprecedented pace. As robots will soon operate "out in the wild", we must identify the safety and security vulnerabilities they will face. Robotics researchers and manufacturers focus their attent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac5ebd6af52b96f12881bbe3e63a500a
Autor:
Michele Colledanchise, Lorenzo Natale
This paper addresses the concurrency issues affecting Behavior Trees (BTs), a popular tool to model the behaviors of autonomous agents in the video game and the robotics industry. BT designers can easily build complex behaviors composing simpler ones
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ce37c834d174ecda7e09b487283a6e6
Autor:
Michele Colledanchise, Giuseppe Cicala, Daniele E. Domenichelli, Lorenzo Natale, Armando Tacchella
In this paper, we enable automated property verification of deliberative components in robot control architectures. We focus on formalizing the execution context of Behavior Trees (BTs) to provide a scalable, yet formally grounded, methodology to ena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a5b87a98ef9093f39a2c174e7afa8a4
https://hdl.handle.net/11567/1094839
https://hdl.handle.net/11567/1094839
Publikováno v:
IROS
In this paper, we propose Belief Behavior Trees (BBTs), an extension to Behavior Trees (BTs) that allows to automatically create a policy that controls a robot in partially observable environments. We extend the semantic of BTs to account for the unc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::644688e2bb77e32f83bed21694a31cc0
http://arxiv.org/abs/2008.09393
http://arxiv.org/abs/2008.09393
Publikováno v:
CASE
Task planning in a probabilistic belief state domains allows generating complex and robust execution policies in those domains affected by state uncertainty. The performance of a task planner relies on the belief state representation. However, curren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25a832a2f708d7dd4e60a4d80659495e
https://doi.org/10.1109/case48305.2020.9216994
https://doi.org/10.1109/case48305.2020.9216994