Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Srivatsan Srinivasan"'
Autor:
Ajinkya Joglekar, Sumedh Sathe, Nicola Misurati, Srivatsan Srinivasan, Matthias J. Schmid, Venkat Krovi
Publikováno v:
IFAC-PapersOnLine. 55:400-407
Autor:
Shantanu Thakar, Srivatsan Srinivasan, Sarah Al-Hussaini, Prahar M. Bhatt, Pradeep Rajendran, Yeo Jung Yoon, Neel Dhanaraj, Rishi K. Malhan, Matthias Schmid, Venkat N. Krovi, Satyandra K. Gupta
Publikováno v:
Journal of Mechanisms and Robotics. 15
Mobile manipulators that combine base mobility with the dexterity of an articulated manipulator have gained popularity in numerous applications ranging from manufacturing and infrastructure inspection to domestic service. Deployments span a range of
Publikováno v:
IFAC-PapersOnLine. 54:166-171
Autor:
Srivatsan Srinivasan
Publikováno v:
IEEE Robotics & Automation Magazine. 27:12-15
Reports on efforts to develop wearable technologies that benefit the disabled. In academic settings, universities are focusing on redirecting technologies in artificial intelligence and robotic perception into the wearables space to benefit the disab
Autor:
Huzefa Kagalwala, Siddhant Srivastava, Venkat Krovi, Manikanda Balaji Venkatesan, Srivatsan Srinivasan
Publikováno v:
SAE Technical Paper Series.
Autor:
Srivatsan Srinivasan, Chris Dyer
Publikováno v:
ACL/IJCNLP (Findings)
Autor:
Srivatsan Srinivasan
Publikováno v:
IEEE Robotics & Automation Magazine. 25:106-115
I am Srivatsan Srinivasan (I know! I go by the name Watson to make everyone's life easier), one of the newly appointed cochairs of the IEEE Robotics and Automation Society (RAS) Student Activities Committee (SAC). I am taking over for Megan Emmons, a
Autor:
Srivatsan Srinivasan
Publikováno v:
IEEE Robotics & Automation Magazine. 26:103-105
Socially assistive robots (SARs) serve as assistants that help people through social interactions. To completely understand what that means, we need to look at two distinct areas of robotics that have been around for quite some time. SARs are an amal
Publikováno v:
IJCAI
We introduce a novel apprenticeship learning algorithm to learn an expert's underlying reward structure in off-policy model-free \emph{batch} settings. Unlike existing methods that require a dynamics model or additional data acquisition for on-policy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bbe0dee8d68cfee58ea0ebbfea6588d
Publikováno v:
Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems.
Fully automatic parking (FAP) is a key step towards the age of autonomous vehicle. Motivated by the contribution of human vision to human parking, in this paper, we propose a computer vision based FAP method for the autonomous vehicles. Based on the