Mohit Mehndiratta — accepted AI-conference papers

2026

REACT: Real-Time Entanglement-Aware Coverage Path Planning for Tethered Underwater Vehicles

Abdelhakim Amer, Mohit Mehndiratta, Yury Brodskiy, Bilal Wehbe, Erdal Kayacan

ICRA 2026poster

Inspection of underwater structures with tethered underwater vehicles is often hindered by the risk of tether entanglement. We propose REACT (real-time entanglement- aware coverage path planning for tethered underwater ve- hicles), a framework designed to overcome this limitation. REACT comprises a …

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2018

Automated Tuning of Nonlinear Model Predictive Controller by Reinforcement Learning

Mohit Mehndiratta, Efe Camci, Erdal Kayacan

IROS 2018poster

One of the major challenges of model predictive control (MPC) for robotic applications is the non-trivial weight tuning process while crafting the objective function. This process is often executed using the trial-and-error method by the user. Consequently, the optimality of the weights and the time…

Cited by 57 Source ↗Scholar ↗