Posterior Sampling for
Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges
Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa, ICRA 2020
Generalized Lazy Search
for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles
Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa, ICAPS 2019
Best Student Paper Award.
Experience in Roadmap Generation for Sampling-Based Planning
Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury and Siddhartha S. Srinivasa, IROS 2019.
Bayesian Policy Optimization for Model Uncertainty
Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Siddhartha S. Srinivasa, ICLR 2019.
Horizon A* for Efficient Path Planning in Graphs with Expensive-to-Evaluate Edges
Aditya Mandalika, Oren Salzman, Siddhartha S. Srinivasa, ICAPS 2018.
Numerical and Experimental Implementation of Leapfrog
Algorithm for Optimal Control of a Mobile Robot
Aditya Mandalika, Arun D. Mahindrakar, Shaligram Tiwari, ICC 2017.
Autonomous robot feeding for upper-extremity mobility
impaired people: Integrating sensing, perception, learning, motion planning, and robot control
T. Bhattacharjee, D. Gallenberger, D. Dubois, L. L'Écuyer-Lapiere, Y. Kim, Aditya Mandalika, R. Scalise, R.
Qu, H. Song, E. Gordon, and S.S. Srinivasa, NeurIPS 2018
Best Demonstration Award.