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of 11
pro vyhledávání: '"Mithun Babu"'
Autor:
Shashank Srikanth, Mithun Babu, Houman Masnavi, Arun Kumar Singh, Karl Kruusamäe, Krishnan Madhava Krishna
Publikováno v:
Sensors, Vol 22, Iss 8, p 2995 (2022)
Joint space trajectory optimization under end-effector task constraints leads to a challenging non-convex problem. Thus, a real-time adaptation of prior computed trajectories to perturbation in task constraints often becomes intractable. Existing wor
Externí odkaz:
https://doaj.org/article/2eb38fda8f55421faf880520fcae39ea
Publikováno v:
2021 9th International Conference on Control, Mechatronics and Automation (ICCMA).
Publikováno v:
ASME 2021 Internal Combustion Engine Division Fall Technical Conference.
Improving internal combustion engine performance is a significant concern over the past few decades for engine researchers and automobile manufacturers. One of the promising methods for improving the engine performance is variable valve actuation sys
Autor:
Unni Krishnan R Nair, Mithun Babu, Arun Kumar Singh, Raghu Ram Theerthala, K. Madhava Krishna
Publikováno v:
ICRA
Autonomous cars and fixed-wing aerial vehicles have the so-called non-holonomic kinematics which non-linearly maps control input to states. As a result, trajectory optimization with such a motion model becomes highly non-linear and non-convex. In thi
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
Autor:
Raghu Ram Theerthala, S Phaniteja, K. Madhava Krishna, Mithun Babu, A. V. S. Sai Bhargav Kumar
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
Planning frameworks for autonomous vehicles must be robust and computationally efficient for real time realization. At the same time, they should accommodate the unpredictable behavior of the other participants and produce safe trajectories. In this
Publikováno v:
ECC
In this paper, we present a Model Predictive Control (MPC) framework based on path velocity decomposition paradigm for autonomous driving. The optimization underlying the MPC has a two layer structure wherein first, an appropriate path is computed fo
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
Publikováno v:
Research Journal of Cardiology. 3:17-24
Conference
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