Vibhav Bharti — accepted AI-conference papers

2025

Stonefish: Supporting Machine Learning Research in Marine Robotics

Michele Grimaldi, Patryk Cieslak, Eduardo Ochoa, Vibhav Bharti, Hayat Rajani, Ignacio Carlucho +3

ICRA 2025

Simulations are highly valuable in marine robotics, offering a cost-effective and controlled environment for testing in the challenging conditions of underwater and surface operations. Given the high costs and logistical difficulties of real-world trials, simulators capable of capturing the operatio

Cited by 19 Source ↗code ↗Scholar ↗

2022

Autonomous Pipeline Tracking Using Bernoulli Filter for Unmanned Underwater Surveys

Vibhav Bharti, Sen Wang

IROS 2022poster

Inspection of subsea pipelines is crucial for avoiding any hazards and minimizing the risks to infrastructure and the environment. These inspections are achieved using Autonomous Underwater Vehicles (AUVs) in favour of reduced operational costs. This work presents a vehicle agnostic approach for tra…

Cited by 3 Source ↗Scholar ↗