DEPARTMENT OF MECHANICAL ENGINEERING Indian Institute Of Technology Madras
team

Anuj K. Tiwari

Assistant Professor

MES 102, Ranganathan Building - Manufacturing Section Department of Mechanical Engineering, IIT Madras
Chennai 600036, Tamil Nadu, India

PhD, University of Washington Seattle, USA (2022) | B. Tech., IIT Guwahati (2017)

+91 44 2257 4659

anujt[at]iitm[.]ac[.]in

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  • Dr. Anuj K. Tiwari received his Ph.D. from the Department of Mechanical Engineering at University of Washington Seattle in 2022, and B.Tech. from IIT Guwahati in 2017. He worked as a Postdoctoral Scholar from Dec 2022 to June 2023 in the Boeing Advanced Research Center at UW. He joined IIT Madras as an Assistant Professor in Mechanical Engineering in July 2023.
  • He works in mechatronics and controls, smart manufacturing, network dynamics, and advanced mobility systems. His current research focus is on distributed control of networked multi-agent systems, with a particular emphasis on cohesive network transitions, where each agent in the network moves similarly. His research includes theoretical developments for consensus and synchronization of higher-order agents in presence of delays, and applications to cohesion in connected vehicles, and advanced composite prototyping and flexible manufacturing.

  • My research in swarm networks aims to develop models to explain cohesive maneuvers observed in natural swarming systems, such as parallel turning maneuvers in starling flocks, and to use those models for control of engineered multi-agent networks in robotics and transportation.

    Current Courses

  • ME 3302 Automation in Manufacturing (Even Semester 2024)

    Previous Courses

  • ME 6324 AI in Manufacturing (Introductory Three Lectures to ML: slides)

  1. J9 Yoshua Gombo, Anuj Tiwari, Mohamed Safwat, Henry Chang, Santosh Devasia. Delayed Self-Reinforcement to Reduce Deformation during Decentralized Flexible-Object Transport, IEEE Transactions on Robotics, 2023 https://doi.org/10.1109/TRO.2023.3343997 (pdf)
  2. J8 Yudong Lin, Anuj Tiwari, Brian Fabien, Xuegang Ban, Santosh Devasia. Increasing traffic capacity of mixed traffic at signalized traffic intersections using delayed self reinforcement, Transportation Research Part C: Emerging Technologies, 2023 https://doi.org/10.1016/j.trc.2023.104403 (pdf)
  3. J7 Lance McCann, Yoshua Gombo, Anuj Tiwari, Joseph Garbini, Santosh Devasia. Data-based stiffness estimation for control of robot-workpiece elastic interactions, ASME Letters in Dynamic Systems and Control (L-DSC) 2023 https://doi.org/10.1115/1.4063606
  4. J6 Anuj Tiwari, Santosh Devasia, James J Riley. Low distortion information propagation with noise suppression in swarm networks, Proceedings of National Academy of Sciences (PNAS) 2023 https://doi.org/10.1073/pnas.221994812 (full text, weblink)
  5. J5. Yudong Lin, Anuj Tiwari, Brian Fabien, Santosh Devasia. Constant Spacing Connected Platoons with Robustness to Communication Delays, IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2022.3224635 2023 (full text)
  6. J4. Anuj Tiwari, Santosh Devasia. Decentralized Cohesive Response During Transitions for Higher-Order Agents Under Network Delays, in IEEE Transactions on Automatic Control, vol. 67, no. 11, pp. 6303-6309, Nov. 2022, doi: 10.1109/TAC.2022.3183035. (PDF, weblink)
  7. J3. Y. Gombo, A. Tiwari and S. Devasia, Accelerated-Gradient-Based Flexible-Object Transport With Decentralized Robot Teams, in IEEE Robotics and Automation Letters, vol. 6, no. 1, pp. 151-158, Jan. 2021, doi: 10.1109/LRA.2020.3036569. (PDF, weblink)
  8. J2. A. Tiwari and S. Devasia, Rapid Transitions With Robust Accelerated Delayed-Self-Reinforcement for Consensus-Based Networks, in IEEE Transactions on Control Systems Technology, doi: 10.1109/TCST.2020.3032853. (arxiv-pdf, weblink)
  9. J1. Krishnan, M., B. Bhowmik, A. K. Tiwari, and B. Hazra. Online damage detection using recursive principal component analysis and recursive condition indicators. Smart Materials and Structures 26, no. 8 (2017): 085017. (weblink)

  1. C6. Tiwari, Anuj, Karl Berntorp, Stefano Di Cairano and Marcel Menner. Personalized Routing using Crowdsourced Connected Vehicle Data. In 2023 IEEE Conference on Control Technology and Applications (PDF, weblink).
  2. C5. Tiwari, Anuj, and Santosh Devasia. Safely increasing capacity of traffic intersections with mixed autonomous vehicles using delayed self reinforcement. In 2022 Seventh Indian Control Conference (ICC). IEEE. (PDF)
  3. C4. Tiwari, Anuj, and Santosh Devasia. Improving network’s transition cohesion by approximating strongly damped waves using delayed self reinforcement. In 2021 Seventh Indian Control Conference (ICC). IEEE. (weblink)
  4. C3. Gombo, Yoshua, Tiwari, Anuj, and Santosh Devasia. Communication-free cohesive flexible-object transport using decentralized robot networks. American Control Conference, 2021. IEEE. (weblink)
  5. C2. Tiwari, Anuj, and Santosh Devasia. Cohesive Velocity Transitions in Robotic Platoons Using Nesterov-type Accelerated Delayed Self Reinforcement (A-DSR). In 2019 Sixth Indian Control Conference (ICC). IEEE. (weblink)
  6. C1. Anowarul Habib, Azeem Ahmad, Sanat Wagle, Balpreet Singh Ahluwalia, Frank Melandsø, Anuj Tiwari, Dalip Singh Mehta. Quantitative phase measurement for the damage detection in piezoelectric crystal using angularly placed multiple inter digital transducers. In IEEE International Ultrasonics Symposium (IUS), 2016 (weblink)