Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Verdoja, Francesco"'
Learning from Demonstration allows robots to mimic human actions. However, these methods do not model constraints crucial to ensure safety of the learned skill. Moreover, even when explicitly modelling constraints, they rely on the assumption of a kn
Externí odkaz:
http://arxiv.org/abs/2405.03491
Visual-language models (VLMs) have recently been introduced in robotic mapping by using the latent representations, i.e., embeddings, of the VLMs to represent the natural language semantics in the map. The main benefit is moving beyond a small set of
Externí odkaz:
http://arxiv.org/abs/2403.10117
Grid maps, especially occupancy grid maps, are ubiquitous in many mobile robot applications. To simplify the process of learning the map, grid maps subdivide the world into a grid of cells whose occupancies are independently estimated using measureme
Externí odkaz:
http://arxiv.org/abs/2309.08324
Accurate maps are a prerequisite for virtually all mobile robot tasks. Most state-of-the-art maps assume a static world; therefore, dynamic objects are filtered out of the measurements. However, this division ignores movable but non-moving -- i.e., s
Externí odkaz:
http://arxiv.org/abs/2305.16702
Autor:
Lundell, Jens, Verdoja, Francesco, Le, Tran Nguyen, Mousavian, Arsalan, Fox, Dieter, Kyrki, Ville
Most state-of-the-art data-driven grasp sampling methods propose stable and collision-free grasps uniformly on the target object. For bin-picking, executing any of those reachable grasps is sufficient. However, for completing specific tasks, such as
Externí odkaz:
http://arxiv.org/abs/2302.10745
Localization of autonomous unmanned aerial vehicles (UAVs) relies heavily on Global Navigation Satellite Systems (GNSS), which are susceptible to interference. Especially in security applications, robust localization algorithms independent of GNSS ar
Externí odkaz:
http://arxiv.org/abs/2212.03581
Mapping people dynamics is a crucial skill for robots, because it enables them to coexist in human-inhabited environments. However, learning a model of people dynamics is a time consuming process which requires observation of large amount of people m
Externí odkaz:
http://arxiv.org/abs/2208.10851
Localization without Global Navigation Satellite Systems (GNSS) is a critical functionality in autonomous operations of unmanned aerial vehicles (UAVs). Vision-based localization on a known map can be an effective solution, but it is burdened by two
Externí odkaz:
http://arxiv.org/abs/2110.01967
Localization of low-cost Unmanned Aerial Vehicles (UAVs) often relies on Global Navigation Satellite Systems (GNSS). GNSS are susceptible to both natural disruptions to radio signal and intentional jamming and spoofing by an adversary. A typical way
Externí odkaz:
http://arxiv.org/abs/2103.14381
While 2D occupancy maps commonly used in mobile robotics enable safe navigation in indoor environments, in order for robots to understand and interact with their environment and its inhabitants representing 3D geometry and semantic environment inform
Externí odkaz:
http://arxiv.org/abs/2103.07298