Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Katyara, Sunny"'
Autor:
Katyara, Sunny, Sharma, Suchita, Damacharla, Praveen, Santiago, Carlos Garcia, Dhirani, Lubina, Chowdhry, Bhawani Shankar
As the manufacturing industry shifts from mass production to mass customization, there is a growing emphasis on adopting agile, resilient, and human-centric methodologies in line with the directives of Industry 5.0. Central to this transformation is
Externí odkaz:
http://arxiv.org/abs/2409.10784
Autor:
Katyara, Sunny, Sharma, Suchita, Damacharla, Praveen, Santiago, Carlos Garcia, O'Farrell, Francis, Long, Philip
Designing an efficient and resilient human-robot collaboration strategy that not only upholds the safety and ergonomics of shared workspace but also enhances the performance and agility of collaborative setup presents significant challenges concernin
Externí odkaz:
http://arxiv.org/abs/2409.08166
High-fidelity datasets play a pivotal role in imbuing simulators with realism, enabling the benchmarking of various state-of-the-art deep inference models. These models are particularly instrumental in tasks such as semantic segmentation, classificat
Externí odkaz:
http://arxiv.org/abs/2306.05766
Autor:
Tavassoli, Mehrdad, Katyara, Sunny, Pozzi, Maria, Deshpande, Nikhil, Caldwell, Darwin G., Prattichizzo, Domenico
The uses of robots are changing from static environments in factories to encompass novel concepts such as Human-Robot Collaboration in unstructured settings. Pre-programming all the functionalities for robots becomes impractical, and hence, robots ne
Externí odkaz:
http://arxiv.org/abs/2210.08060
Autor:
Katyara, Sunny, Deshpande, Nikhil, Ficuciello, Fanny, Chen, Fei, Siciliano, Bruno, Caldwell, Darwin G.
Handling non-rigid objects using robot hands necessities a framework that does not only incorporate human-level dexterity and cognition but also the multi-sensory information and system dynamics for robust and fine interactions. In this research, our
Externí odkaz:
http://arxiv.org/abs/2109.07207
Autor:
Katyara, Sunny, Ficuciello, Fanny, Teng, Tao, Chen, Fei, Siciliano, Bruno, Caldwell, Darwin G.
Designing robotic tasks for co-manipulation necessitates to exploit not only proprioceptive but also exteroceptive information for improved safety and autonomy. Following such instinct, this research proposes to formulate intuitive robotic tasks foll
Externí odkaz:
http://arxiv.org/abs/2104.00342
Autor:
Katyara, Sunny, Deshpande, Nikhil, Ficuciello, Fanny, Teng, Tao, Siciliano, Bruno, Caldwell, Darwin G., Chen, Fei
Enabling robots to work in close proximity to humans necessitates a control framework that does not only incorporate multi-sensory information for autonomous and coordinated interactions but also has perceptive task planning to ensure an adaptable an
Externí odkaz:
http://arxiv.org/abs/2103.05676
Humans in contrast to robots are excellent in performing fine manipulation tasks owing to their remarkable dexterity and sensorimotor organization. Enabling robots to acquire such capabilities, necessitates a framework that not only replicates the hu
Externí odkaz:
http://arxiv.org/abs/2012.07046
Pruning is the art of cutting unwanted and unhealthy plant branches and is one of the difficult tasks in the field robotics. It becomes even more complex when the plant branches are moving. Moreover, the reproducibility of robot pruning skills is ano
Externí odkaz:
http://arxiv.org/abs/2008.11613
Manipulation in contrast to grasping is a trajectorial task that needs to use dexterous hands. Improving the dexterity of robot hands, increases the controller complexity and thus requires to use the concept of postural synergies. Inspired from postu
Externí odkaz:
http://arxiv.org/abs/2008.11574