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Raghvendra V. Cowlagi

Researcher at Worcester Polytechnic Institute

Publications -  51
Citations -  748

Raghvendra V. Cowlagi is an academic researcher from Worcester Polytechnic Institute. The author has contributed to research in topics: Motion planning & Path (graph theory). The author has an hindex of 13, co-authored 48 publications receiving 665 citations. Previous affiliations of Raghvendra V. Cowlagi include Georgia Institute of Technology & Massachusetts Institute of Technology.

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Journal ArticleDOI

Highlights from the literature on accident causation and system safety: Review of major ideas, recent contributions, and challenges

TL;DR: It is suggested that more fundamental research and cross-talk across several academic disciplines must be supported and incentivized for tackling the multi-disciplinary issues of accident causation and system safety, and two ideas that are emerging as foundational in the literature on system safety and accident causation are discussed, namely that system safety is a “control problem” and that it requires a system theoretic approach to be dealt with.
Proceedings ArticleDOI

Optimal motion planning with the half-car dynamical model for autonomous high-speed driving

TL;DR: An implementation of the RRT* optimal motion planning algorithm for the half-car dynamical model to enable autonomous high-speed driving and observes that the motion of a special point can be modeled as a double integrator augmented with fictitious inputs.
Journal ArticleDOI

Hierarchical Motion Planning With Dynamical Feasibility Guarantees for Mobile Robotic Vehicles

TL;DR: The proposed iterative algorithm is suitable for real-time implementations, where hard bounds on the available computation time are imposed, and where the original H-cost optimization algorithm may not have sufficient time to converge to a solution at all.
Journal ArticleDOI

Coordinability and consistency in accident causation and prevention: formal system theoretic concepts for safety in multilevel systems

TL;DR: This work introduces the notions of coordinability and consistency from the hierarchical and multilevel systems theory literature and investigates the applicability and the importance of these concepts to accident causation and safety.
Proceedings ArticleDOI

Incremental path repair in hierarchical motion-planning with dynamical feasibility guarantees for mobile robotic vehicles

TL;DR: A graph-search algorithm that operates on sequences of vertices and a lower level planner that ensures consistency between the two levels of hierarchy by providing meaningful costs for the edge transitions of a higher level planner using dynamically feasible, collision-free trajectories are proposed.