D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 30 Citations 4,337 100 World Ranking 7023 National Ranking 175

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Robotics

Humanoid robot, Robot, Control theory, Robot control and Control engineering are his primary areas of study. Humanoid robot is a subfield of Artificial intelligence that Nicolas Mansard studies. His Robot study combines topics from a wide range of disciplines, such as Control theory and Simulation.

His work in the fields of Control theory, such as Trajectory, intersects with other areas such as Classification of discontinuities. His work carried out in the field of Trajectory brings together such families of science as Differential dynamic programming, Optimal control, Heuristics and Model predictive control. His research integrates issues of Algorithm and Quadratic programming in his study of Inverse kinematics.

His most cited work include:

  • Hierarchical quadratic programming (304 citations)
  • Control-limited differential dynamic programming (223 citations)
  • A Unified Approach to Integrate Unilateral Constraints in the Stack of Tasks (164 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Robot, Humanoid robot, Control theory, Artificial intelligence and Trajectory. His Robot research includes themes of Control engineering, Control theory and Mathematical optimization. His studies in Humanoid robot integrate themes in fields like Human–computer interaction, Simulation, Torque, Inverse dynamics and Robot kinematics.

The various areas that Nicolas Mansard examines in his Control theory study include Inverse kinematics and Solver. In his research on the topic of Solver, Quadratic equation is strongly related with Quadratic programming. His studies examine the connections between Trajectory and genetics, as well as such issues in Algorithm, with regards to Matrix.

He most often published in these fields:

  • Robot (56.20%)
  • Humanoid robot (44.63%)
  • Control theory (41.32%)

What were the highlights of his more recent work (between 2018-2021)?

  • Robot (56.20%)
  • Trajectory (24.79%)
  • Control theory (41.32%)

In recent papers he was focusing on the following fields of study:

Nicolas Mansard mainly focuses on Robot, Trajectory, Control theory, Optimal control and Mathematical optimization. His work deals with themes such as Control engineering and Inertial measurement unit, which intersect with Robot. Within one scientific family, Nicolas Mansard focuses on topics pertaining to Humanoid robot under Trajectory, and may sometimes address concerns connected to Motion.

In general Control theory study, his work on Control theory and Torque often relates to the realm of Angular momentum, Contact force and Viscoelasticity, thereby connecting several areas of interest. His Optimal control research integrates issues from Solver and State. He works mostly in the field of Mathematical optimization, limiting it down to concerns involving Computation and, occasionally, Differential and L1 norm minimization.

Between 2018 and 2021, his most popular works were:

  • The Pinocchio C++ library : A fast and flexible implementation of rigid body dynamics algorithms and their analytical derivatives (43 citations)
  • Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control (33 citations)
  • Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video (20 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Control theory
  • Robotics

His primary areas of investigation include Trajectory, Mathematical optimization, Optimal control, State and Robot. His biological study spans a wide range of topics, including Linear programming, Humanoid robot and Surface. His Mathematical optimization research is multidisciplinary, incorporating elements of Differential, Computation and Robot control.

His Optimal control study combines topics in areas such as Manipulator, Solver and Inverted pendulum. His Robot study deals with the bigger picture of Artificial intelligence. His study on Motion, RGB color model and Ground truth is often connected to Position as part of broader study in Artificial intelligence.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Hierarchical quadratic programming

Adrien Escande;Nicolas Mansard;Pierre-Brice Wieber.
The International Journal of Robotics Research (2014)

499 Citations

Control-limited differential dynamic programming

Yuval Tassa;Nicolas Mansard;Emo Todorov.
international conference on robotics and automation (2014)

343 Citations

Task Sequencing for High-Level Sensor-Based Control

N. Mansard;F. Chaumette.
IEEE Transactions on Robotics (2007)

268 Citations

A Unified Approach to Integrate Unilateral Constraints in the Stack of Tasks

N. Mansard;O. Khatib;A. Kheddar.
IEEE Transactions on Robotics (2009)

222 Citations

Dynamic Whole-Body Motion Generation Under Rigid Contacts and Other Unilateral Constraints

Layale Saab;Oscar E. Ramos;Francois Keith;Nicolas Mansard.
IEEE Transactions on Robotics (2013)

220 Citations

A versatile Generalized Inverted Kinematics implementation for collaborative working humanoid robots: The Stack Of Tasks

Nicolas Mansard;Olivier Stasse;Paul Evrard;Abderrahmane Kheddar.
international conference on advanced robotics (2009)

162 Citations

Whole-body model-predictive control applied to the HRP-2 humanoid

J. Koenemann;A. Del Prete;Y. Tassa;E. Todorov.
intelligent robots and systems (2015)

150 Citations

A versatile and efficient pattern generator for generalized legged locomotion

Justin Carpentier;Steve Tonneau;Maximilien Naveau;Olivier Stasse.
international conference on robotics and automation (2016)

130 Citations

Fast resolution of hierarchized inverse kinematics with inequality constraints

Adrien Escande;Nicolas Mansard;Pierre-Brice Wieber.
international conference on robotics and automation (2010)

117 Citations

An Efficient Acyclic Contact Planner for Multiped Robots

Steve Tonneau;Andrea Del Prete;Julien Pettre;Chonhyon Park.
IEEE Transactions on Robotics (2018)

109 Citations

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