Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Gireesh, Nandiraju"'
Autor:
Zhang, Jiazhao, Gireesh, Nandiraju, Wang, Jilong, Fang, Xiaomeng, Xu, Chaoyi, Chen, Weiguang, Dai, Liu, Wang, He
Mobile manipulation constitutes a fundamental task for robotic assistants and garners significant attention within the robotics community. A critical challenge inherent in mobile manipulation is the effective observation of the target while approachi
Externí odkaz:
http://arxiv.org/abs/2309.15459
Autor:
Gireesh, Nandiraju, Agrawal, Ayush, Datta, Ahana, Banerjee, Snehasis, Sridharan, Mohan, Bhowmick, Brojeshwar, Krishna, Madhava
Publikováno v:
ICRA 2023 conference
The Multi-Object Navigation (MultiON) task requires a robot to localize an instance (each) of multiple object classes. It is a fundamental task for an assistive robot in a home or a factory. Existing methods for MultiON have viewed this as a direct e
Externí odkaz:
http://arxiv.org/abs/2305.06178
Autor:
Kiran, D. A. Sasi, Anand, Kritika, Kharyal, Chaitanya, Kumar, Gulshan, Gireesh, Nandiraju, Banerjee, Snehasis, Roychoudhury, Ruddra dev, Sridharan, Mohan, Bhowmick, Brojeshwar, Krishna, Madhava
This paper describes a framework for the object-goal navigation task, which requires a robot to find and move to the closest instance of a target object class from a random starting position. The framework uses a history of robot trajectories to lear
Externí odkaz:
http://arxiv.org/abs/2208.13031
Autor:
Gireesh, Nandiraju, Kiran, D. A. Sasi, Banerjee, Snehasis, Sridharan, Mohan, Bhowmick, Brojeshwar, Krishna, Madhava
Object Goal Navigation requires a robot to find and navigate to an instance of a target object class in a previously unseen environment. Our framework incrementally builds a semantic map of the environment over time, and then repeatedly selects a lon
Externí odkaz:
http://arxiv.org/abs/2208.13009
To effectively train medical students to become qualified radiologists, a large number of X-ray images collected from patients with diverse medical conditions are needed. However, due to data privacy concerns, such images are typically difficult to o
Externí odkaz:
http://arxiv.org/abs/2006.10552