Zobrazeno 1 - 10
of 375
pro vyhledávání: '"ALOIMONOS, YIANNIS"'
Autor:
Gasteratos, Antonios, Tsintotas, Konstantinos A., Fischer, Tobias, Aloimonos, Yiannis, Milford, Michael
Visual-based recognition, e.g., image classification, object detection, etc., is a long-standing challenge in computer vision and robotics communities. Concerning the roboticists, since the knowledge of the environment is a prerequisite for complex n
Externí odkaz:
http://arxiv.org/abs/2411.11481
Autor:
Burner, Levi, Mantripragada, Pavan, Caddeo, Gabriele M., Natale, Lorenzo, Fermüller, Cornelia, Aloimonos, Yiannis
When humans perform insertion tasks such as inserting a cup into a cupboard, routing a cable, or key insertion, they wiggle the object and observe the process through tactile and proprioceptive feedback. While recent advances in tactile sensors have
Externí odkaz:
http://arxiv.org/abs/2410.02595
Autor:
Shahidzadeh, Amir-Hossein, Caddeo, Gabriele, Alapati, Koushik, Natale, Lorenzo, Fermüller, Cornelia, Aloimonos, Yiannis
In this paper, we tackle the problem of estimating 3D contact forces using vision-based tactile sensors. In particular, our goal is to estimate contact forces over a large range (up to 15 N) on any objects while generalizing across different vision-b
Externí odkaz:
http://arxiv.org/abs/2410.02048
Suppose you are at your desk looking at some objects on it. You don't know the precise distance from your eye to any particular object in meters. However, you can immediately reach out and touch any of them. Instead of the meter, your knowledge of di
Externí odkaz:
http://arxiv.org/abs/2410.00287
There has been a lot of interest in grounding natural language to physical entities through visual context. While Vision Language Models (VLMs) can ground linguistic instructions to visual sensory information, they struggle with grounding non-visual
Externí odkaz:
http://arxiv.org/abs/2409.15505
This paper presents a novel method for real-time 3D navigation in large-scale, complex environments using a hierarchical 3D visibility graph (V-graph). The proposed algorithm addresses the computational challenges of V-graph construction and shortest
Externí odkaz:
http://arxiv.org/abs/2409.11188
When observing objects, humans benefit from their spatial visualization and mental rotation ability to envision potential optimal viewpoints based on the current observation. This capability is crucial for enabling robots to achieve efficient and rob
Externí odkaz:
http://arxiv.org/abs/2409.09997
Autor:
Kyatham, Hitesh, Negahdaripour, Shahriar, Xu, Michael, Lin, Xiaomin, Yu, Miao, Aloimonos, Yiannis
Underwater robot perception is crucial in scientific subsea exploration and commercial operations. The key challenges include non-uniform lighting and poor visibility in turbid environments. High-frequency forward-look sonar cameras address these iss
Externí odkaz:
http://arxiv.org/abs/2409.07004
Autor:
Lin, Xiaomin, Mange, Vivek, Suresh, Arjun, Neuberger, Bernhard, Palnitkar, Aadi, Campbell, Brendan, Williams, Alan, Baxevani, Kleio, Mallette, Jeremy, Vera, Alhim, Vincze, Markus, Rekleitis, Ioannis, Tanner, Herbert G., Aloimonos, Yiannis
Oysters are a vital keystone species in coastal ecosystems, providing significant economic, environmental, and cultural benefits. As the importance of oysters grows, so does the relevance of autonomous systems for their detection and monitoring. Howe
Externí odkaz:
http://arxiv.org/abs/2409.07003
Artificial Neural Networks has struggled to devise a way to incorporate working memory into neural networks. While the ``long term'' memory can be seen as the learned weights, the working memory consists likely more of dynamical activity, that is mis
Externí odkaz:
http://arxiv.org/abs/2408.16632