Chayan Kumar Paul received the B.Tech. degree in Electrical Engineering from the Indian Institute of Engineering Science and Technology (IIEST), Shibpur, India, in 2019. He has submitted his thesis towards Ph.D. degree in control and automation with the Department of Electrical Engineering at the Indian Institute of Technology (IIT) Delhi, New Delhi, India. He is currently a research associate at FOCAS Labs, CPS, IISc. His research interests include the safe adaptive control of robot manipulators, impedance control for human-robot interaction, observer design, and finite/fixed-time control methodologies.

Aniruddha Roy is currently a National Postdoctoral Fellow at the Robert Bosch Centre for Cyber-Physical Systems, Indian Institute of Science, Bengaluru, where he works with Prof. Pavan Tallapragada. His current research lies at the intersection

 of dynamic games, data-driven game theory, and their applications in networked control systems and target–attacker–defender games. He completed his Ph.D. from Indian Institute of Technology-Madras (IIT M), Chennai, in July 2024 under the supervision of Prof.

 Puduru Viswanadha Reddy. His doctoral research developed a novel solution concept, guaranteed cost equilibrium, for a class of linear-quadratic differential games. Before joining IISc, he briefly worked with an aerospace startup and IIT Kharagpur. He received

 his M.E. in Control Systems Engineering from Jadavpur University, Kolkata, in 2018, and his B.Tech. in Electrical Engineering from Maulana Abul Kalam Azad University of Technology in 2016. He is a recipient of several prestigious awards and recognitions, including

 the ANRF National Postdoctoral Fellowship, the 1980 Batch Project-Excellence in Research Travel Grant from IIT Madras, the Amul Vidya Bhushan Award for outstanding academic excellence among Class XII students across India, and the Charusila Memorial Award

 from Midnapore Town School, West Bengal, for achieving the highest marks in Class XII. 

Anindya Basu is currently an Institute Postdoctoral Fellow in the Department of CyberPhysical Systems at the Indian Institute of Science (IISc), Bangalore. He received his 

Ph.D. in 2026 from the Department of Electronics and Electrical Engineering at IIT 

Guwahati, where he was affiliated with the Systems, Control, and Automation group. His 

research focuses on the safety and security of cyber-physical systems, with particular 

emphasis on resilient control design for networked control systems under denial-ofservice (DoS) attacks, event-triggered control, and model predictive control

Anik Kumar Paul is currently a Walmart Postdoctoral Fellow in the Department of Computer Science and Automation at the Indian Institute of Science (IISc), Bangalore. He received his Ph.D. in 2024 from the Department of Electrical Engineering at IIT Madras, where he was part of the Control and Optimization group. His research interests include stochastic optimization, distributed learning, and nonsmooth analysis.

Abstract: 

Bearing-only formation control has garnered immense research attraction because bearing measurements can be obtained using low-cost cameras, require less complex sensory arrangement, are less noisy, and are desirable for military applications. While specifying a desired formation with bearing constraints, the agents are required to sense their orientations for the implementation. However, elevation angle constraints, which can be obtained using vision-only sensors, are independent of coordinate frames. Hence, formation control using elevation angle constraints does not require information about a global frame of reference, or any orientation synchronization or orientation estimation protocol. Recently proposed gradient-based bearing-only control laws using elevation angle constraints have only established local stability results with single integrator dynamics. In this talk, robust control laws for single integrators and double integrators will be discussed when the agents' dynamics are affected by unknown bounded disturbances. One problem with using only elevation angle constraints to define the desired formation is that the stability results are only local. Hence, the agents may converge to undesired equilibria if the initial conditions are not close to the desired formation shape. To mitigate this issue, a new rigidity theory, named “sign-elevation angle rigidity,” will be developed that uses signed-area and volume constraints along with elevation angle constraints to describe the desired formation. Then, how to obtain an almost global stability result for the elevation angle-based approach will be discussed.

Biography:  

Chinmay Garanayak obtained his PhD from the Department of Electrical Engineering, Indian Institute of Technology Bombay, in 2024. He received his B.Tech. (2015) from the National Institute of Technology, Rourkela, India, in Electrical Engineering. He was a postdoctoral researcher at the Department of Electrical Engineering, IIT Bombay till 2025. Currently, he is a postdoctoral researcher at the Department of Electrical Engineering, NYU Abu Dhabi. His research interests include multi-agent systems, cooperative control, formation control, and nonlinear control.

Abstract: 

In this interactive session, we will embark on a captivating exploration of the remarkable world of Internet of Things (IoT) systems that have some extreme characteristics. These systems hold immense potential to benefit us even in applications that confront extreme limits. While the IoT has already revolutionised our interaction with technology by connecting everyday objects to the digital world, this talk takes us beyond conventional boundaries. We will dive deeper into the IoT systems, where we push the limits and discover how IoT can thrive and excel in environments with traditional constraints. Through a collage of multiple demonstrable IoT systems, we will explore various aspects, including crucial factors such as battery life, longevity, delay, and the challenging environmental conditions in which these systems must operate. By challenging the status quo, we uncover novel solutions that overcome these hurdles and unleash the true potential of sensors and radios. Prepare to be inspired as we present real-world examples and showcase research that demonstrates the transformative power of this field.  Through this interactive session, we will, together, engage, ponder, and envision the future possibilities that lie within the realm of IoT Systems.

Biography:  

Dr. R Venkatesha Prasad is an associate professor at the  Networked Systems group of Delft University of Technology (TU Delft). At TU Delft, he has supervised 23 PhD students and 90 MSc students. He has (co-)authored more than 350 publications in peer-reviewed international transactions/journals, Patents, and conferences in the areas of Tactile Internet, Internet of Things (IoT), Cyber Physical Systems (CPS), Energy-harvesting, 60 GHz mmWave networks, Smart energy systems, Personal networks, Cognitive Radios and Voice over Internet Protocol (VoIP). Recognising his research contributions to IoT, he has been selected as an IEEE Communications Society (ComSoc) Distinguished Lecturer on the Internet of Things for the period 2016-2020. He is currently mentoring IEEE Tactile Internet and IEEE 6G Robotics standardisation groups. He is also leading many IEEE activities through positions on standards boards and technical committees. He is on the editorial board of many IEEE and international transactions and magazines. He was the Deputy Project Director for Lunar Zebro – a moon rover project. He completed his PhD from IISc, Bangalore, India, in 2003. His thesis work led to a start-up venture, Esqube Communication Solutions, which was selected as one of the top 100 IT innovators in India in 2006 by NASSCOM and the top 100 promising companies in Asia by RedHerring in 2008. He led a student team to win the worldwide Airbus challenge -- Fly Your Ideas. He is a co-founder of ZED BV in the Netherlands and Skynetics India.  He is a senior member of IEEE and ACM, and a Fellow of IETE.

Abstract: 

Despite remarkable progress in robotics, we still see very few robots actually helping us in our daily lives. A key reason is that real-world deployment imposes fundamental constraints that are often overlooked in controlled demonstrations: robot data is expensive and computation is limited. To meet these challenges we must design resource-rational robots that dynamically adapt their planning and learning to the available resources. I will present a principled framework for robot planning and learning that treats time, data, and computation as resources with explicit costs and budgets that must be allocated intelligently. I will introduce metareasoning algorithms that decide what and how to learn at deployment time, enabling robots in factories and homes to provably maximize their performance under operational constraints. I will then show how this framework enables robots to acquire contact-rich tasks through a few hours of unsupervised practice, and to coordinate dozens of robots in warehouses without any multi-robot data. Together, these results chart a path towards robots that act reliably and learn efficiently under real-world constraints, bringing us closer to long-term autonomy.

Biography:

Shivam Vats is a postdoctoral researcher in the Department of Computer Science at Brown University, where he works with George Konidaris on developing planning algorithms that continually learn from experience. His research on manipulation, human-robot teaming and multi-robot systems has been recognized with an Outstanding HRI Paper Finalist Award at ICRA 2022 and a Spotlight presentation at ICLR 2025. He earned his PhD in robotics from Carnegie Mellon University, where he was co-advised by Maxim Likhachev and Oliver Kroemer. Shivam also holds a BSc and an MSc in Mathematics and Computing from IIT Kharagpur.

Abstract: 

Satisfaction of state and input constraints is a fundamental requirement in many safety-critical control applications, particularly in the presence of uncertainties and disturbances. This talk presents an adaptive control framework that guarantees user-defined constraints on system states and control inputs for uncertain dynamical systems. The proposed approach integrates a barrier Lyapunov function with a saturated control law to ensure constraint satisfaction while maintaining stable tracking, without relying on real-time optimization. An offline verifiable feasibility condition is derived to certify whether a given set of constraints can be safely enforced by the controller. An extension of this framework to handle time-varying state and input constraints in the presence of parametric uncertainties and disturbances will also be briefly discussed. The resulting framework provides a computationally efficient approach for ensuring safety, feasibility, robustness, and performance in uncertain dynamical systems.

Biography:

Poulomee Ghosh is currently a Research Associate with Dr. Pushpak Jagtap at the Formal Control and Autonomous Systems (FOCAS) Lab, Robert Bosch Centre for Cyber-Physical Systems (RBCCPS), IISc Bangalore. She recently submitted her Ph.D. thesis in Electrical Engineering at the Indian Institute of Technology Delhi under the supervision of Prof. Shubhendu Bhasin. Her doctoral research focuses on the development of adaptive control strategies for uncertain dynamical systems, with guarantees on user-defined constraints on system states, control inputs, and input rates. She received her B.Tech. in Electrical Engineering from the National Institute of Technology Durgapur in 2020.