Spatio-Temporal Modeling and Adaptive Acquisition for Cardiac MRI. - Nitin Aggarwal; Saptarshi Bandyopadhyay; Yoram Bresler (ISBI, 2004)

Stability analysis of small satellite formation flying and reconfiguration missions in deep space. - Saptarshi Bandyopadhyay; Chakravarthini M. Saaj; Bijnan Bandyopadhyay (VSS, 2012)

Phase synchronization control of complex networks of Lagrangian systems on adaptive digraphs. - Soon-Jo Chung; Saptarshi Bandyopadhyay; Insu Chang; Fred Y. Hadaegh (Autom., 2013)

Probabilistic swarm guidance using optimal transport. - Saptarshi Bandyopadhyay; Soon-Jo Chung; Fred Y. Hadaegh (CCA, 2014)

Distributed estimation using Bayesian consensus filtering. - Saptarshi Bandyopadhyay; Soon-Jo Chung (ACC, 2014)

Probabilistic guidance of distributed systems using sequential convex programming. - Daniel Morgan; Giri Prashanth Subramanian; Saptarshi Bandyopadhyay; Soon-Jo Chung; Fred Y. Hadaegh (IROS, 2014)

A probabilistic eulerian approach for motion planning of a large-scale swarm of robots. - Saptarshi Bandyopadhyay; Soon-Jo Chung; Fred Y. Hadaegh (IROS, 2016)

Autonomous guidance navigation and control for agile quadrotors using polynomial trajectory planning and li adaptive control. - Mattia Landolfi; Saptarshi Bandyopadhyay; Jean-Pierre de la Croix; Amir Rahmani (MED, 2017)

Fast, On-line Collision Avoidance for Dynamic Vehicles Using Buffered Voronoi Cells. - Dingjiang Zhou; Zijian Wang 003; Saptarshi Bandyopadhyay; Mac Schwager (IEEE Robotics Autom. Lett., 2017)

Probabilistic and Distributed Control of a Large-Scale Swarm of Autonomous Agents. - Saptarshi Bandyopadhyay; Soon-Jo Chung; Fred Y. Hadaegh (IEEE Trans. Robotics, 2017)

Distributed Bayesian filtering using logarithmic opinion pool for dynamic sensor networks. - Saptarshi Bandyopadhyay; Soon-Jo Chung (Autom., 2018)

Review of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy. - Federico Rossi 001; Saptarshi Bandyopadhyay; Michael T. Wolf; Marco Pavone 001 (CoRR, 2018)

Robotics and AI-Enabled On-Orbit Operations With Future Generation of Small Satellites. - Angadh Nanjangud; Peter C. Blacker; Saptarshi Bandyopadhyay; Yang Gao 002 (Proc. IEEE, 2018)

Multi-Robot Assembly Sequencing via Discrete Optimization. - Preston Culbertson; Saptarshi Bandyopadhyay; Mac Schwager (IROS, 2019)

Detection of Transient Instabilities in Multi-Agent Systems and Swarms. - Saptarshi Bandyopadhyay; Vinod P. Gehlot; Mark J. Balas; David S. Bayard; Marco B. Quadrelli (ACC, 2021)

Collision Free Dynamic Stability of Formations Using Projection Based Estimators. - Vinod P. Gehlot; Mark J. Balas; Saptarshi Bandyopadhyay; Marco B. Quadrelli; David S. Bayard (ACC, 2021)

Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition. - Kiril Solovey; Saptarshi Bandyopadhyay; Federico Rossi 001; Michael T. Wolf; Marco Pavone 001 (ICRA, 2021)

Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlas. - Federico Rossi 001; Saptarshi Bandyopadhyay; Michael T. Wolf; Marco Pavone 001 (CoRR, 2021)

A Metaheuristic Optimization Based Deep Feature Selection for Oral Cancer Classification. - Akash Halder; Sugata Laha; Saptarshi Bandyopadhyay; Friedhelm Schwenker; Ram Sarkar (ANNPR, 2024)

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators. - Christopher Agia; Guillem Casadesus Vila; Saptarshi Bandyopadhyay; David S. Bayard; Kar-Ming Cheung; Charles H. Lee; Eric Wood; Ian Aenishanslin; Steven Ardito; Lorraine M. Fesq; Marco Pavone 001; Issa A. D. Nesnas (CoRR, 2024)

Distributed Instruments for Planetary Surface Science: Scientific Opportunities and Technology Feasibility. - Federico Rossi 001; Robert C. Anderson; Saptarshi Bandyopadhyay; Erik Brandon; Ashish Goel; Joshua Vander Hook; Michael Mischna; Michaela Villarreal; Mark Wronkiewicz (CoRR, 2024)

Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator. - Manaswin Oddiraju; Zaki Hasnain; Saptarshi Bandyopadhyay; Eric Sunada; Souma Chowdhury (CoRR, 2024)

Autonomy in the Real-World: Autonomous Trajectory Planning for Asteroid Reconnaissance via Stochastic Optimization. - Kazuya Echigo; Abhishek Cauligi; Saptarshi Bandyopadhyay; Daniel P. Scharf; Gregory Lantoine; Behçet Açikmese; Issa Nesnas (CoRR, 2024)