Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Bharath Gopalakrishnan"'
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:901-916
In this paper, we present an efficient algorithm for solving a class of chance constrained optimization under non-parametric uncertainty. Our algorithm is built on the possibility of representing arbitrary distributions as functions in Reproducing Ke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9886d9c9f588bef287c1f947797117d
https://doi.org/10.1109/tcst.2021.3091315
https://doi.org/10.1109/tcst.2021.3091315
Autor:
Jaya Bharath Gopalakrishnan, Thennarasan Sabapathy, Muzammil Jusoh, Hasliza A Rahim, Muhammad Ramlee Kamarudin, Ping Jack Soh
Publikováno v:
2022 IEEE Region 10 Symposium (TENSYMP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d29950c42d78c8fca150baa1be8189da
https://doi.org/10.1109/tensymp54529.2022.9864567
https://doi.org/10.1109/tensymp54529.2022.9864567
Autor:
SriSai Naga Jyotish Poonganam, Bharath Gopalakrishnan, Arun Kumar Singh, Venkata Seetharama Sai Bhargav Kumar Avula, K. Madhava Krishna, Dinesh Manocha
Publikováno v:
IEEE Robotics and Automation Letters. 5:2690-2697
The probabilistic velocity obstacle (PVO) extends the concept of velocity obstacle (VO) to work in uncertain dynamic environments. In this paper, we show how a robust model predictive control (MPC) with PVO constraints under non-parametric uncertaint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb3674fca7c1c5ed69afeb37811da702
https://doi.org/10.1109/lra.2020.2972840
https://doi.org/10.1109/lra.2020.2972840
Publikováno v:
2021 European Control Conference (ECC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdc218ecf69fcdb6c50087085ae3fc5e
https://doi.org/10.23919/ecc54610.2021.9655130
https://doi.org/10.23919/ecc54610.2021.9655130
Publikováno v:
RO-MAN
Autonomous navigation and obstacle avoidance are core capabilities that enable robots to execute tasks in the real world. We propose a new approach to collision avoidance that accounts for uncertainty in the states of the agent and the obstacles. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f02a788113ca4829aeeb3d4e92717fc5
https://doi.org/10.1109/ro-man46459.2019.8956314
https://doi.org/10.1109/ro-man46459.2019.8956314
Autor:
K. Madhava Krishna, Bharath Gopalakrishnan, Shanti Medasani, Mithun Babu, Arun Kumar Singh, B.P. Baladhurgesh, Raghu Ram Theerthala
Publikováno v:
ACC
In this paper, we propose a new model predictive control (MPC) formulation for autonomous driving. The novelty of our MPC stems from the following results. Firstly, we adopt an alternating minimization approach wherein linear velocities and angular a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c8f5001181ed5309fcd37c0952b0cd1
https://doi.org/10.23919/acc.2019.8814940
https://doi.org/10.23919/acc.2019.8814940
Autor:
Mohd Hafizudin Mat, Mohamed Nasrun Osman, Tarmizi Ali, Hasliza Abd Rahim, M. N. Yaasin, Muzammil Jusoh, Samir Salem Al-Bawri, Jaya Bharath Gopalakrishnan, Yasmin Abdul Wahab, Thennarasan Sabapathy, Huda A. Majid
Publikováno v:
Journal of Physics: Conference Series. 1339:012054
In this work, a radiation pattern reconfigurable antenna design using compact printed spiral monopoles that operates at 102 MHz is reported. The proposed antenna changes its radiation behaviour that responds towards a desired direction with the use o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4967aa0ba790fac1d69fe26bbfdd4955
https://doi.org/10.1088/1742-6596/1339/1/012054
https://doi.org/10.1088/1742-6596/1339/1/012054
Autor:
Mithun Babu, Adarsh Modh, Bharath Gopalakrishnan, K. Madhava Krishna, A. V. S. Sai Bhargav Kumar
Publikováno v:
Intelligent Vehicles Symposium
Conventionally, planning frameworks for autonomous vehicles consider large safety margins and pre- defined paths for performing the merge maneuvers. These considerations often increase the wait time at the intersec- tions leading to traffic disruptio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36974a0ecc6649774ae72e3cdc377f28
https://doi.org/10.1109/ivs.2018.8500652
https://doi.org/10.1109/ivs.2018.8500652
Publikováno v:
AIR
We present Probabilistic Reciprocal Velocity Obstacle or PRVO as a general algorithm for navigating multiple robots under perception and motion uncertainty. PRVO is defined as the space of velocities that ensures dynamic collision avoidance between a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f26d79782896ab6dd12329c247a8f13
http://arxiv.org/abs/1608.05829
http://arxiv.org/abs/1608.05829
Publikováno v:
CDC
We propose a novel collision avoidance formulation in the intent space, suitable for navigation of non-holonomic robots in human centered environments. The intent space is characterized by various bands of trajectories wherein each band can be though
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be60b820061c4b9e62566fcbd96cc9a0
https://doi.org/10.1109/cdc.2015.7402636
https://doi.org/10.1109/cdc.2015.7402636