ASPIRE Lab
Advancing Autonomous Robotic Systems with Perception, Learning, and Intelligent Decision-Making
Part of Department of Mechanical and Aerospace Engineering, IIT Hyderabad
Latest News
We are now accepting applications for internship positions at ASPIRE Lab. Click the link to learn more and apply.
Learn moreCongratulations to N Shyam Sridhar, Aashish Sahu, S Rami Reddy, and R Prasanth Kumar for receiving the Best Paper Award at IEEE International Conference on Robotics and Mechatronics 2025 for their work on collaborative payload transport using a four-quadcopter swarm.
Learn moreKrishnendu Roy and R Prasanth Kumar published their research on prismatic-revolute hybrid biped robot walking in unstructured terrain using reinforcement learning at ICRM 2025.
Learn moreKrishnendu Roy and R Prasanth Kumar's paper on dynamic standing stability comparison of revolute-knee and prismatic-knee underactuated biped robots has been published in the International Journal of Dynamics and Control.
Learn moreAashish Sahu and R Prasanth Kumar's work on design and development of an arm-leg hybrid drone for enhanced aerial manipulation and mobility has been published at IEEE ROBIO 2024.
Learn moreMeet Our Team
Discover the talented researchers and students driving innovation at ASPIRE Lab.
Our Research
Explore our latest publications and contributions to robotics and autonomous systems.
Join Our Lab
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About ASPIRE
ASPIRE Lab at IITH focuses on advancing autonomous robotic systems endowed with perception, learning, and intelligent decision-making in complex environments. Our research covers a broad spectrum of robotic platforms, including but not limited to, swarms of aerial drones, quadruped robots, biped / humanoid robots, human-robot interaction, wheeled mobile robots, and AUVs / underwater robots.
Our work combines principles of conventional control theory with learning-based approaches such as deep reinforcement learning and robot vision to develop systems capable of adaptive, data-driven behavior. Through these efforts, ASPIRE aims to integrate model-based understanding with data-driven intelligence to develop reliable and efficient autonomous systems for exploration, interaction, and real-world operation.