Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network. - Nishanth Rao; Suresh Sundaram 002 (IJCNN, 2021)

An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning. - Jayabrata Chowdhury; Suresh Sundaram 002; Nishanth Rao; Narasimhan Sundararajan (CoRR, 2022)

Computationally Light Spectrally Normalized Memory Neuron Network based Estimator for GPS-denied operation of Micro-UAV. - Nishanth Rao; Suresh Sundaram 002; Varun Raghavendra (CoDIT, 2023)

Temporal Waypoint Navigation of Multi-UAV Payload System using Barrier Functions. - Nishanth Rao; Suresh Sundaram 002; Pushpak Jagtap (ECC, 2023)

Integrated Decision Control Approach for Cooperative Safety-Critical Payload Transport in a Cluttered Environment. - Nishanth Rao; Suresh Sundaram 002 (IEEE Trans. Aerosp. Electron. Syst., 2023)

Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor. - Anish Bhattacharya; Marco Cannici; Nishanth Rao; Yuezhan Tao; Vijay Kumar 001; Nikolai Matni; Davide Scaramuzza 001 (CoRL, 2024)

Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance. - Anish Bhattacharya; Nishanth Rao; Dhruv Parikh; Pratik Kunapuli; Nikolai Matni; Vijay Kumar 001 (CoRR, 2024)

Leveraging Symmetry to Accelerate Learning of Trajectory Tracking Controllers for Free-Flying Robotic Systems. - Jake Welde; Nishanth Rao; Pratik Kunapuli; Dinesh Jayaraman; Vijay Kumar 001 (CoRR, 2024)

STRiDE: STate-space Riemannian Diffusion for Equivariant Planning. - Evangelos Chatzipantazis; Nishanth Rao; Kostas Daniilidis (L4DC, 2025)

An Efficient Deep Spatio-Temporal Context Aware Decision Network (DST-CAN) for Predictive Manoeuvre Planning on Highways. - Jayabrata Chowdhury; Suresh Sundaram 002; Nishanth Rao; Narasimman Sundararajan (IEEE Trans. Intell. Transp. Syst., 2025)

An Input-Output Feedback Linearization-Based Exponentially Stable Controller for Multi-UAV Payload Transport. - Nishanth Rao; Suresh Sundaram 002 (Unmanned Syst., 2025)