Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Bhowmick, Brojeshwar"'
Object rearrangement in a multi-room setup should produce a reasonable plan that reduces the agent's overall travel and the number of steps. Recent state-of-the-art methods fail to produce such plans because they rely on explicit exploration for disc
Externí odkaz:
http://arxiv.org/abs/2406.00451
Autor:
Banerjee, Snehasis, Paul, Sayan, Roychoudhury, Ruddradev, Bhattacharya, Abhijan, Sarkar, Chayan, Sau, Ashis, Pramanick, Pradip, Bhowmick, Brojeshwar
Publikováno v:
Journal of Intelligent Robotic System 2024
This article presents Teledrive, a telepresence robotic system with embodied AI features that empowers an operator to navigate the telerobot in any unknown remote place with minimal human intervention. We conceive Teledrive in the context of democrat
Externí odkaz:
http://arxiv.org/abs/2406.00375
Autor:
Chanda, Sushovan, Tiwari, Amogh, Tiwari, Lokender, Bhowmick, Brojeshwar, Sharma, Avinash, Barua, Hrishav
Recovering temporally consistent 3D human body pose, shape and motion from a monocular video is a challenging task due to (self-)occlusions, poor lighting conditions, complex articulated body poses, depth ambiguity, and limited availability of annota
Externí odkaz:
http://arxiv.org/abs/2311.11662
This work proposes a novel approach to social robot navigation by learning to generate robot controls from a social motion latent space. By leveraging this social motion latent space, the proposed method achieves significant improvements in social na
Externí odkaz:
http://arxiv.org/abs/2310.07335
Autor:
Agrawal, Ayush, Arora, Raghav, Datta, Ahana, Banerjee, Snehasis, Bhowmick, Brojeshwar, Jatavallabhula, Krishna Murthy, Sridharan, Mohan, Krishna, Madhava
Publikováno v:
RO-MAN 2023 Conference
This paper introduces a novel method for determining the best room to place an object in, for embodied scene rearrangement. While state-of-the-art approaches rely on large language models (LLMs) or reinforcement learned (RL) policies for this task, o
Externí odkaz:
http://arxiv.org/abs/2306.01540
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
Publikováno v:
IROS 2022 AI&R Workshop
This paper presents an architecture and methodology to empower a service robot to navigate an indoor environment with semantic decision making, given RGB ego view. This method leverages the knowledge of robot's actuation capability and that of scenes
Externí odkaz:
http://arxiv.org/abs/2210.11543
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
Autor:
Pramanick, Pradip, Sarkar, Chayan, Paul, Sayan, Roychoudhury, Ruddra dev, Bhowmick, Brojeshwar
Robotic task instructions often involve a referred object that the robot must locate (ground) within the environment. While task intent understanding is an essential part of natural language understanding, less effort is made to resolve ambiguity tha
Externí odkaz:
http://arxiv.org/abs/2207.14205