Manas Talukdar

Fremont, California, United States Contact Info
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Publications

  • Accumulated effect parameter tuning method for geometrical path tracking of wheeled mobile robots

    IEEE/ASME International Conference on Advanced Intelligent Mechatronics - AIM , 2007

    This paper proposes a novel method for parameter tuning in geometrical path tracking algorithms for wheeled mobile robots. Geometrical path tracking has the advantage in its ease of implementation. However, before using such an algorithm, several critical parameters need to be found experimentally. Such a procedure is quite time consuming and unreliable. Moreover, there is no certainty that the parameters found using this method will hold for different kinds of paths. The research presented in…

    This paper proposes a novel method for parameter tuning in geometrical path tracking algorithms for wheeled mobile robots. Geometrical path tracking has the advantage in its ease of implementation. However, before using such an algorithm, several critical parameters need to be found experimentally. Such a procedure is quite time consuming and unreliable. Moreover, there is no certainty that the parameters found using this method will hold for different kinds of paths. The research presented in this paper addresses this particular issue. A tuning method called Accumulated Effect (AE) parameter tuning method is proposed for determining the appropriate parameter values which will hold for different paths under different conditions. This method is based on the steady state of a mobile robot, tracking a circular path. The effectiveness of this method has been demonstrated using simulation results for three different path tracking algorithms.

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Honors & Awards

  • Titan Business Award

    Titan Awards

    Manas Talukdar was recognized with a Titan Business Award in the category of "Executives & Professionals - Innovator of the Year" for leadership and innovations in AI with patents and adoption.

  • Global Recognition Award

    Global Recognition Awards

    Manas Talukdar has been recognized with a 2024 Global Recognition Award for his exceptional contributions and achievements in the field of artificial intelligence and large-scale data infrastructure.

  • IEEE Senior Member

    IEEE

    IEEE senior membership requires extensive experience and reflects professional maturity. It is based on a detailed scrutiny of documented, sustained and consistent achievements of significance.

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