Aditya Mandalika

International Conferences

• 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.
• LEGO: Leveraging 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.
• Lazy Receding 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.

Workshops

• Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions
  Lerrel Pinto, Aditya Mandalika, Brian Hou, Siddhartha S. Srinivasa, RSS CLeaR 2019.

Demonstrations

• 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.