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Inna Sharf
Researcher at McGill University
Publications - 168
Citations - 3784
Inna Sharf is an academic researcher from McGill University. The author has contributed to research in topics: Computer science & Space debris. The author has an hindex of 30, co-authored 153 publications receiving 3191 citations. Previous affiliations of Inna Sharf include University of Victoria & University of British Columbia.
Papers
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Literature survey of contact dynamics modelling
Gabriele Gilardi,Inna Sharf +1 more
TL;DR: An overview of the state of the art on impact and contact modelling methodologies, taking into account their different aspects, specifically, the energy loss, the influence of the friction model, solution approaches, the multi-contact problem and the experimental verification is provided.
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Contact Stiffness and Damping Estimation for Robotic Systems
D. Erickson,M. Weber,Inna Sharf +2 more
TL;DR: Four algorithms for the identification of contact stiffness and damping during robot constrained motion are reviewed and the results indicate that the indirect adaptive controller has the best combination of performance and ease of use.
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Airship dynamics modeling: A literature review
Yuwen Li,Meyer Nahon,Inna Sharf +2 more
TL;DR: In this article, a review of the state-of-the-art literature on airship dynamics modeling is presented, aiming to provide a comprehensive description of the main problems in this area and a useful source of references for researchers and engineers interested in modern airship applications.
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Sampling-based A* algorithm for robot path-planning
Sven Mikael Persson,Inna Sharf +1 more
TL;DR: The root assumptions of the A* algorithm are examined and reformulated in a manner that enables a direct use of the search strategy as the driving force behind the generation of new samples in a motion graph, leading to a highly exploitative method which does not sacrifice entropy.
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Adaptive Reactionless Motion and Parameter Identification in Postcapture of Space Debris
TL;DR: In this article, an adaptive reactionless control algorithm is proposed to produce the arm motions with minimum disturbance to the base, and an online momentum-based estimation method is developed for inertia-parameter identification after the space manipulator grasps an unknown tumbling target with unknown angular momentum.