Zobrazeno 1 - 10
of 218
pro vyhledávání: '"Popović, Marija"'
Robots need robust and flexible vision systems to perceive and reason about their environments beyond geometry. Most of such systems build upon deep learning approaches. As autonomous robots are commonly deployed in initially unknown environments, pr
Externí odkaz:
http://arxiv.org/abs/2410.10684
Adaptive informative path planning (AIPP) is important to many robotics applications, enabling mobile robots to efficiently collect useful data about initially unknown environments. In addition, learning-based methods are increasingly used in robotic
Externí odkaz:
http://arxiv.org/abs/2404.06940
Object reconstruction is relevant for many autonomous robotic tasks that require interaction with the environment. A key challenge in such scenarios is planning view configurations to collect informative measurements for reconstructing an initially u
Externí odkaz:
http://arxiv.org/abs/2403.16803
Many autonomous robotic applications require object-level understanding when deployed. Actively reconstructing objects of interest, i.e. objects with specific semantic meanings, is therefore relevant for a robot to perform downstream tasks in an init
Externí odkaz:
http://arxiv.org/abs/2403.11233
Autonomous robots are often employed for data collection due to their efficiency and low labour costs. A key task in robotic data acquisition is planning paths through an initially unknown environment to collect observations given platform-specific r
Externí odkaz:
http://arxiv.org/abs/2402.04894
Semantic segmentation enables robots to perceive and reason about their environments beyond geometry. Most of such systems build upon deep learning approaches. As autonomous robots are commonly deployed in initially unknown environments, pre-training
Externí odkaz:
http://arxiv.org/abs/2312.04402
Neural Radiance Fields (NeRFs) are gaining significant interest for online active object reconstruction due to their exceptional memory efficiency and requirement for only posed RGB inputs. Previous NeRF-based view planning methods exhibit computatio
Externí odkaz:
http://arxiv.org/abs/2310.00684
Active object reconstruction using autonomous robots is gaining great interest. A primary goal in this task is to maximize the information of the object to be reconstructed, given limited on-board resources. Previous view planning methods exhibit ine
Externí odkaz:
http://arxiv.org/abs/2310.00685
Accurately assessing the potential value of new sensor observations is a critical aspect of planning for active perception. This task is particularly challenging when reasoning about high-level scene understanding using measurements from vision-based
Externí odkaz:
http://arxiv.org/abs/2309.10620
Crop monitoring is crucial for maximizing agricultural productivity and efficiency. However, monitoring large and complex structures such as sweet pepper plants presents significant challenges, especially due to frequent occlusions of the fruits. Tra
Externí odkaz:
http://arxiv.org/abs/2303.03048