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Jean-Paul Laumond

Jean-Paul Laumond is a engineering topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Jean-Paul Laumond rather than just read about it. In short: Jean-Paul Laumond (1953 – 20 December 2021) was a French robotician, research director at the CNRS, member of the French Academy of Sciences and the French Academy of Technologies. Biography Professor of mathematics in high schools from 1976, Laumond defended his thesis in robotics at the Paul Sabatier University in Toulouse in 1984 on methods for structuring the evolution space of a mobile robot.

Jean-Paul Laumond — main illustration
Jean-Paul Laumond — illustration

Key takeaways

  • Jean-Paul Laumond belongs to engineering; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Jean-Paul Laumond to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Jean-Paul Laumond from memory before moving on to harder problems.

Reference excerpt

Jean-Paul Laumond (1953 – 20 December 2021) was a French robotician, research director at the CNRS, member of the French Academy of Sciences and the French Academy of Technologies.

Biography Professor of mathematics in high schools from 1976, Laumond defended his thesis in robotics at the Paul Sabatier University in Toulouse in 1984 on methods for structuring the evolution space of a mobile robot. He joined the CNRS in 1985. He spent his entire career at the Laboratoire d'analyse et d'architecture des systèmes (LAAS) until February 2019, when he joined the CNRS-INRIA-ENS UMR 8548 joint unit. Laumond carried out numerous research projects on the planning and control of the movement of mechanical systems, and in particular humanoid robots. He co-directed the CNRS-AIST JRL French-Japanese humanoid robotics laboratory in Toulouse from 2005 to 2008. He was the co-founder of the start-up Kineo-Cam, which he led for two years and which received several innovation awards before being acquired by Siemens in 2012. Laumond died on 20 December 2021, at the age of 68.

Scientific work Laumond defined himself as a geometer of robotics. With a mathematical background, his career was dominated by the algorithm of motion planning in robotics, a scientific field for which he helped to lay the foundations. His research covers the planning and motion control of autonomous machines, and covers various disciplinary fields (graph theory, algorithmic geometry, non-linear control, optimal control, differential geometry, probabilistic algorithmics, neuroscience) applied to mobile robotics and humanoid robotics. Three stages structure his activity at the end of his thesis which focused on the structuring of the space of a mobile robot by decomposing planar graphs. Non-Holonomic Systems[1986-2000] - While motion planning algorithms emerged in the 1980s, dominated by algorithmic geometry and real algebraic geometry, the field was renewed in the 1990s by mobile robotics. In 1986 he published the first article introducing the problem of motion planning for non-holonomic systems and laying the first foundations of its resolution: he demonstrated the necessary fusion within the same theoretical framework of differential geometry and algorithmic geometry. Movement planning for non-holonomic robots will therefore become a very active research topic throughout the 1990s. His contributions were both theoretical and practical: the Hilare robot was the first mobile robot to operate a trailer independently. These results had unexpected consequences in the early 2000s for the simulation of convoys transporting Airbus A380 components. Piano Mover[1996-2004] - In the early 1990s, when deterministic approaches were not able to cope with the combinatorial complexity inherent in the so-called 'piano mover' problem, new paradigms of resolution appeared, first and foremost at Stanford and Utrecht universities. This is the beginning of probabilistic methods. He contributes to the movement in collaboration with his colleague T. Siméon, both theoretically (introduction of an original mechanism for controlling random sampling methods) and practically through the development of a generic software platform, a platform that was to be enhanced in 2000 with the creation of the start-up Kineo CAM. The company he initially managed develops and markets software components dedicated to motion planning in the field of PLM (Product Lifecycle Management), mainly in the automotive and aeronautical sectors. It was acquired by Siemens in 2012. Anthropomorphic systems[2001–Present] - After being made available to create Kineo CAM, he resumed his research activity in 2003. It then begins a new theme: movement planning for digital actors. The first results appear in 2003 (an avatar is able to walk while manipulating a cumbersome object and avoiding obstacles) in the graph community. The first relations were established in 2004 with researchers working in humanoid robotics at the AIST in Japan. These first contacts led to the humanoid robotics activity at LAAS, the acquisition by CNRS of the HRP2 platform and the relocation of the associated international laboratory JRL, which he co-directed from 2005 to 2008. Scientific contributions in this field relate to the consideration of dynamics in motion planning algorithms. The themes of digital actors and humanoid robots were rapidly enriched in the mid-2000s by studies of the anthropomorphic movement in the broadest sense, encompassing issues specific to neuroscience. His first contribution in this field highlighted the non-holonomic characteristics of human locomotion. Recently he proposed a new paradigm (the Yoyo-Man), inspired by computational neuroscience, for the control of bipedalism in humanoid robotics.

Conferences, books and interviews 4 multidisciplinary symposia and 4 books

13 and 14 November 2014 – International Workshop on « Dance Notations and Robot Motion », Toulouse. This multidisciplinary workshop brought together for the first time robotics researchers, dancers and choreographers. Book: https://www.springer.com/gp/book/9783319257372 19 and 20 November 2015 – International Workshop on « Geometric and Numerical Foundations of Movements », Toulouse. This multidisciplinary workshop brought together researchers in robotics, automation and mathematics. Book: https://www.springer.com/gp/book/9783319515465 24 and 25 November 2016 – International Workshop on « Biomechanics of Anthropomorphic Systems », Toulouse. This multidisciplinary workshop brought together researchers in robotics, biomechanics and engine control. Book: https://www.springer.com/us/book/9783319938691 30 November and 1 December 2017 – International Workshop on « Wording Robotics », Toulouse. This multidisciplinary workshop brought together researchers in robotics, philosophy, linguistics, neuroscience and sociology. Book: https://link.springer.com/book/10.1007/978-3-030-17974-8 Interviews with people

Athena, Hephaestus and Robotics (1) Athena, Hephaestus and Robotics (2) Robotics as a question

… excerpt ends here. Continue reading the full article.

Illustrations

Jean-Paul Laumond: Laumond in 2018
Laumond in 2018

Worked examples

Example 1 — a first encounter with Jean-Paul Laumond

Start with the simplest possible case. Write down what Jean-Paul Laumond claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Jean-Paul Laumond before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Jean-Paul Laumond ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Jean-Paul Laumond

In research
Jean-Paul Laumond appears in engineering research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Jean-Paul Laumond in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Jean-Paul Laumond is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1953 births, 2021 deaths, Members of the French Academy of Sciences, so understanding it makes those chapters shorter.
In everyday life
Look for Jean-Paul Laumond outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Jean-Paul Laumond in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Jean-Paul Laumond means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Jean-Paul Laumond out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Jean-Paul Laumond in simple terms?

Jean-Paul Laumond (1953 – 20 December 2021) was a French robotician, research director at the CNRS, member of the French Academy of Sciences and the French Academy of Technologies. Biography Professor of mathematics in high schools from 1976, Laumond defended his thesis in robotics at the Paul Saba…

Why does Jean-Paul Laumond matter?

Because it connects several engineering ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Jean-Paul Laumond?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Jean-Paul Laumond.

Tags

  • 1953 births
  • 2021 deaths
  • Members of the French Academy of Sciences
  • Research directors of the French National Centre for Scientific Research
  • Roboticists

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