Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Harit Pandya"'
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Soft robotic grippers are increasingly desired in applications that involve grasping of complex and deformable objects. However, their flexible nature and non-linear dynamics makes the modelling and control difficult. Numerical techniques such as Fin
Externí odkaz:
https://doaj.org/article/584e1cdf2e724c66b3b41d177cf6abf6
Publikováno v:
Sensors, Vol 17, Iss 2, p 353 (2017)
Object detection and classification have countless applications in human–robot interacting systems. It is a necessary skill for autonomous robots that perform tasks in household scenarios. Despite the great advances in deep learning and computer vi
Externí odkaz:
https://doaj.org/article/2b119483e70c47c8b80482f18044010f
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Autor:
M. Nomaan Qureshi, Pushkal Katara, Abhinav Gupta, Harit Pandya, Y V S Harish, AadilMehdi Sanchawala, Gourav Kumar, Brojeshwar Bhowmick, K. Madhava Krishna
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
RO-MAN
This paper presents a haptic shared control paradigm that modulates the level of robotic guidance, based on predictions of human motion intentions. The proposed method incorporates robot trajectories learned from human demonstrations and dynamically
Instance invariant visual servoing framework for part-aware autonomous vehicle inspection using MAVs
Publikováno v:
Journal of Field Robotics. 36:892-918
Publikováno v:
ICRA
Existing deep learning based visual servoing approaches regress the relative camera pose between a pair of images. Therefore, they require a huge amount of training data and sometimes fine-tuning for adaptation to a novel scene. Furthermore, current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b23cc36be6061fa213e40ade3135d98f
Publikováno v:
IROS
Objects in space often exhibit a tumbling motion around the major inertial axis. In this paper, we address the image based visual servoing of a robotic system towards an uncooperative tumbling object. In contrast to previous approaches that require e
Publikováno v:
IROS
Motion planning for manipulators under task space constraints is difficult as it constrains the joint configurations to always lie on an implicitly defined manifold. It is possible to view task constrained motion planning as an optimization problem w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::120f0a5c215c54c650e11424419c2d8d
http://arxiv.org/abs/1803.03784
http://arxiv.org/abs/1803.03784
Publikováno v:
IROS
Present visual servoing approaches are instance specific i.e. they control camera motion between two views of the same object. However, in practical scenarios where a robot is required to handle various instances of a category, classical visual servo