Low Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode. - Ayush Pandey; Subhamoy Mahajan; Adarsh Kosta; Dhananjay Yadav; Vikas Pandey; Saurav Sahay; Siddharth Jha; Shubh Agarwal; Aashay Bhise; Raushan Kumar; Aniket Bhushan; Vraj Parikh; et al. (CoRR, 2016)

Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks. - Chankyu Lee; Adarsh Kosta; Alex Zihao Zhu; Kenneth Chaney; Kostas Daniilidis; Kaushik Roy 001 (ECCV (29), 2020)

CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays. - Amogh Agrawal; Adarsh Kosta; Sangamesh Kodge; Dong Eun Kim; Kaushik Roy 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Erratum to "CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays". - Amogh Agrawal; Adarsh Kosta; Sangamesh Kodge; Dong Eun Kim; Kaushik Roy 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives. - Nitin Rathi; Amogh Agrawal; Chankyu Lee; Adarsh Kumar Kosta; Kaushik Roy 001 (DATE, 2021)

HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. - Adarsh Kosta; Efstathia Soufleri; Indranil Chakraborty; Amogh Agrawal; Aayush Ankit; Kaushik Roy 001 (DATE, 2022)

RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. - Adarsh Kumar Kosta; Malik Aqeel Anwar; Priyadarshini Panda; Arijit Raychowdhury; Kaushik Roy 001 (ICRA, 2022)

Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures. - Chankyu Lee; Adarsh Kumar Kosta; Kaushik Roy 001 (ICRA, 2022)

Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-based Real-time Gesture Recognition and Optical Flow Estimation. - Adarsh Kumar Kosta; Marco Paul E. Apolinario; Kaushik Roy 001 (CVPR Workshops, 2023)

Lightning Talk: A Perspective on Neuromorphic Computing. - Deepika Sharma; Adarsh Kumar Kosta; Kaushik Roy 001 (DAC, 2023)

Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics. - Adarsh Kumar Kosta; Kaushik Roy 001 (ICRA, 2023)

AcouSkin: Full Surface Contact localization Using Acoustic Waves. - Adarsh Kumar Kosta; Alexis Burns; Siddharth Rupavatharam; Caleb Escobedo; Daewon Lee; Richard E. Howard; Larry D. Jackel; Volkan Isler (IROS, 2023)

Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. - Nitin Rathi; Indranil Chakraborty; Adarsh Kosta; Abhronil Sengupta; Aayush Ankit; Priyadarshini Panda; Kaushik Roy 001 (ACM Comput. Surv., 2023)

Unearthing the Potential of Spiking Neural Networks. - Sayeed Shafayet Chowdhury; Adarsh Kumar Kosta; Deepika Sharma; Marco Paul E. Apolinario; Kaushik Roy 001 (DATE, 2024)

FEDORA: A Flying Event Dataset fOr Reactive behAvior. - Amogh Joshi 002; Wachirawit Ponghiran; Adarsh Kosta; Manish Nagaraj; Kaushik Roy 001 (IROS, 2024)

Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation. - Shubham Negi; Deepika Sharma; Adarsh Kumar Kosta; Kaushik Roy 001 (IROS, 2024)

HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. - Shristi Das Biswas; Adarsh Kosta; Chamika M. Liyanagedera; Marco Paul E. Apolinario; Kaushik Roy 001 (WACV, 2024)

SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning. - Amogh Joshi 002; Adarsh Kumar Kosta; Kaushik Roy 001 (CoRR, 2024)

Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks. - Marco Paul E. Apolinario; Adarsh Kumar Kosta; Utkarsh Saxena; Kaushik Roy 001 (IEEE Trans. Emerg. Top. Comput., 2024)

Unlocking the Potential of Spiking Neural Networks: Understanding the What, Why, and Where. - Buddhi Wickramasinghe; Sayeed Shafayet Chowdhury; Adarsh Kumar Kosta; Wachirawit Ponghiran; Kaushik Roy 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. - Amit Ranjan Trivedi; Sina Tayebati; Hemant Kumawat; Nastaran Darabi; Divake Kumar; Adarsh Kumar Kosta; Yeshwanth Venkatesha; Dinithi Jayasuriya; Nethmi Jayasinghe; Priyadarshini Panda; Saibal Mukhopadhyay; Kaushik Roy 001 (DATE, 2025)

TOFFE - Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking. - Adarsh Kumar Kosta; Amogh Joshi 002; Arjun Roy; Rohan Kumar Manna; Manish Nagaraj; Kaushik Roy 001 (CoRR, 2025)

Real-Time Neuromorphic Navigation: Guiding Physical Robots with Event-Based Sensing and Task-Specific Reconfigurable Autonomy Stack. - Sourav Sanyal; Amogh Joshi 002; Adarsh Kosta; Kaushik Roy 001 (CoRR, 2025)