Recommending Customizable Products: A Multiple Choice Knapsack Solution. - Aravind Sivaramakrishnan; Madhusudhan Krishnamachari; Vidhya Balasubramanian (WIMS, 2015)

Towards Learning Efficient Maneuver Sets for Kinodynamic Motion Planning. - Aravind Sivaramakrishnan; Zakary Littlefield; Kostas E. Bekris (CoRR, 2019)

Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers. - Aravind Sivaramakrishnan; Edgar Granados; Seth Karten; Troy McMahon; Kostas E. Bekris (IROS, 2021)

Terrain-Aware Learned Controllers for Sampling-Based Kinodynamic Planning over Physically Simulated Terrains. - Troy McMahon; Aravind Sivaramakrishnan; Kushal Kedia; Edgar Granados; Kostas E. Bekris (IROS, 2022)

Morse Graphs: Topological Tools for Analyzing the Global Dynamics of Robot Controllers. - Ewerton R. Vieira; Edgar Granados; Aravind Sivaramakrishnan; Marcio Gameiro; Konstantin Mischaikow; Kostas E. Bekris (WAFR, 2022)

Data-Efficient Learning of High-Quality Controls for Kinodynamic Planning used in Vehicular Navigation. - Seth Karten; Aravind Sivaramakrishnan; Edgar Granados; Troy McMahon; Kostas E. Bekris (CoRR, 2022)

A Survey on the Integration of Machine Learning with Sampling-based Motion Planning. - Troy McMahon; Aravind Sivaramakrishnan; Edgar Granados; Kostas E. Bekris (Found. Trends Robotics, 2022)

Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees. - Ewerton R. Vieira; Aravind Sivaramakrishnan; Yao Song; Edgar Granados; Marcio Gameiro; Konstantin Mischaikow; Ying Hung; Kostas E. Bekris (ICRA, 2023)

Roadmaps with Gaps over Controllers: Achieving Efficiency in Planning under Dynamics. - Aravind Sivaramakrishnan; Noah R. Carver; Sumanth Tangirala; Kostas E. Bekris (CoRR, 2023)

MORALS: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space. - Ewerton R. Vieira; Aravind Sivaramakrishnan; Sumanth Tangirala; Edgar Granados; Konstantin Mischaikow; Kostas E. Bekris (ICRA, 2024)

Roadmaps with Gaps over Controllers: Achieving Efficiency in Planning under Dynamics. - Aravind Sivaramakrishnan; Sumanth Tangirala; Edgar Granados; Noah R. Carver; Kostas E. Bekris (IROS, 2024)

KRAFT: Sampling-Based Kinodynamic Replanning and Feedback Control over Approximate, Identified Models of Vehicular Systems. - Aravind Sivaramakrishnan; Sumanth Tangirala; Dhruv Metha Ramesh; Edgar Granados; Kostas E. Bekris (CoRR, 2024)

PROBE: Proprioceptive Obstacle Detection and Estimation while Navigating in Clutter. - Dhruv Metha Ramesh; Aravind Sivaramakrishnan; Shreesh Keskar; Kostas E. Bekris; Jingjin Yu; Abdeslam Boularias (CoRR, 2025)

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies. - Isidoros Marougkas; Dhruv Metha Ramesh; Joe Doerr; Edgar Granados; Aravind Sivaramakrishnan; Abdeslam Boularias; Kostas E. Bekris (CoRR, 2025)