Welcome to the Artificial Intelligence and Robotics Laboratory (AIRL), Aerospace Dept., IISc.
The lab is led by Dr. Suresh Sundaram, with around 35 research staff members. The lab is primarily focused on 4 main topics:
- Guidance and control for vehicles,
- Artificial intelligence,
- Design of drones,
- Optimization.
The lab focuses on a range of problems related to the guidance, navigation, design, and control of Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), and Under Water Vehicles (UWVs) using modern control theory. The lab explores the theoretical and practical aspects of reinforcement learning and deep learning like spiking neural networks, continual learning, and complex-valued deep learning. It also focuses on developing practical solutions for applications in computer vision, satellite imaging, pursuit-evasion games, and motion planning. There is a dedicated team that focuses on building and testing hexacopters and quadcopters; primarily focused on variable pitch propulsion and morphable drones for easy traversal through obstacles. Other areas our members work on include smart community power grids for efficient distribution and consumption of power.
Current Project
SLAM for Autonomous vehicles
Autonomous vehicles demand the use of robust SLAM algorithms for performing of tasks such as path planning. Various...
Music-playing robots
This is a fun project conducted in the summer of 2022. For playing music, robots need to visit the musical note...
News & Updates
Swarm drones to tackle forest fires:
Glad to announce that our research on using multiple swarms of UAVs to combat forest fires has been featured...
GP3Net accepted at AAAI 2024:
We're thrilled to announce our paper, "Graph-based Prediction and Planning Policy Network (GP3Net) for...
MRFP accepted at CVPR 2024
Exciting news, at #CVPR2024 in Seattle, WA, USA we will be presenting our research paper where we propose a...