Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Kris Kitani"'
Publikováno v:
IEEE Access, Vol 9, Pp 29970-29979 (2021)
The ability to recognize and identify terrain characteristics is an essential function required for many autonomous ground robots such as social robots, assistive robots, autonomous vehicles, and ground exploration robots. Recognizing and identifying
Externí odkaz:
https://doaj.org/article/b3652566c01b42559ccb13a2b5e89d16
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2022)
As assistive robotics has expanded to many task domains, comparing assistive strategies among the varieties of research becomes increasingly difficult. To begin to unify the disparate domains into a more general theory of assistance, we present a def
Externí odkaz:
https://doaj.org/article/0a9edfadaf57411db02075d6677e75bd
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
Publikováno v:
The International Journal of Robotics Research. 41:3-11
We present the Human And Robot Multimodal Observations of Natural Interactive Collaboration (HARMONIC) dataset. This is a large multimodal dataset of human interactions with a robotic arm in a shared autonomy setting designed to imitate assistive eat
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
A typical pipeline for multi-object tracking (MOT) is to use a detector for object localization, and following re-identification (re-ID) for object association. This pipeline is partially motivated by recent progress in both object detection and re-I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4acc7f3da59180587c1e1532ccc6d8c
http://arxiv.org/abs/2111.14690
http://arxiv.org/abs/2111.14690
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
LiDAR sensors can be used to obtain a wide range of measurement signals other than a simple 3D point cloud, and those signals can be leveraged to improve perception tasks like 3D object detection. A single laser pulse can be partially reflected by mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea08eb96d28b4c7945bdf534c4d45ec9
http://arxiv.org/abs/2107.11470
http://arxiv.org/abs/2107.11470