Phd Position F/m Sensors-based Distributed Control

il y a 3 semaines


Rennes, France Inria Temps plein

Le descriptif de l’offre ci-dessous est en Anglais_

**Type de contrat **:CDD

**Niveau de diplôme exigé **:Bac + 5 ou équivalent

**Fonction **:Doctorant

**A propos du centre ou de la direction fonctionnelle**:
The Inria Centre at Rennes University is one of Inria's eight centres and has more than thirty research teams. The Inria Centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative PMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute, etc.

**Contexte et atouts du poste**:
**Conditions**:

- The work will be carried in English in the Rainbow team at the Inria Rennes Bretagne Atlantique research center.
- The Ph.D. position is full-time for 3 years (standard duration in France). The position will be paid according to the French salary regulations for PhD students.
- We do high quality and impactful research in robotics, publishing on the major journals and conferences.
- We often collaborate with other top researchers in europe and worldwide.
- You will have access to a well established laboratory including:

- two flying arenas equipped with motion tracking system, several quadrotors, and a few fully-actuated manipulators,
- one robotic manipulation lab equipped with several robotic arms, like the Franka Emika Panda.
- You will be part of an international and friendly team. We organize several events, from after works, to multi-day lab retreat.
- Regular visits and talks by internationally known researchers from top research labs.

**Supervisors **:M.** **Tognon, P. Robuffo Giordano

**Mission confiée**:
**Description**:
**Research Objectives**:The primary objective of this Ph.D. thesis is to explore **sensor-based** **and** **distributed** **coordination strategies for multi-aerial robot systems with cable-suspended loads**, facilitating collaborative object manipulation and transportation through local interactions. Distributed solutions pose particular challenges, especially when addressing communication constraints among the robots. The objective is then to consider hierarchical strategies where robots communicate at a low frequency and coordinate at a higher/planning level, subsequently executing the plan through local implicit communication based on sensor-based feedback such as vision and/or force sensing.

**Related references**:
- S. Sun and A. Franchi, "Nonlinear MPC for Full-Pose Manipulation of a Cable-Suspended Load using Multiple UAVs," 2023 International Conference on Unmanned Aircraft Systems (ICUAS), Warsaw, Poland, 2023, pp. 969-975.
- Sanalitro, D. (2022). Aerial Cooperative Manipulation: full pose manipulation in air and in interaction with the environment (Doctoral dissertation, INSA de Toulouse).
- D. Sanalitro, H. Savino, M. Tognon, J. Cortés, and A. Franchi “Full-pose manipulation control of a cable-suspended load with multiple UAVs under uncertainties”. IEEE Robotics and Automation Letters, 2020,5(2), 2185-2191.
- C. Gabellieri, M. Tognon, D. Sanalitro and A. Franchi, "Force-Based Pose Regulation of a Cable-Suspended Load Using UAVs with Force Bias,” 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, 2023, pp. 6920-6926.
- N. de Carli, P. Salaris, P. Robuffo Giordano. Multi-Robot Active Sensing for Bearing Formations. MSR 2023 - IEEE International Symposium on Multi-Robot & Multi-Agent Systems, Dec 2023, Boston (MA), United States. pp.1-7.
- L. Guanrui, and G. Loianno. "Nonlinear Model Predictive Control for Cooperative Transportation and Manipulation of Cable Suspended Payloads with Multiple Quadrotors." arXiv preprint arXiv:2303.06165 (2023).
- A. Ollero, M. Tognon, A. Suarez, D. J. Lee, and A. Franchi. ''Past, present, and future of aerial robotic manipulators.’’ IEEE Trans. on Robotics, 2021.
- S., Ola, and M. Schwager. "Distributed Model Predictive Control via Separable Optimization in Multi-Agent Networks." IEEE Transactions on Automatic Control (2023).
- L. Peric, Brunner, M., Bodie, K., M. Tognon, and Siegwart, R., “Direct Force and Pose NMPC with Multiple Interaction Modes for Aerial Push-and-Slide Operations”, in 2021 IEEE Int. Conf. on Robotics and Automation, Xi’an, China, 2021

**Principales activités**:
**Envisaged Activities**:
Envisioned solutions will build upon existing centralized or kinematic results [2,3] and communication-less regulation approaches [4] to propose a fully **sensor-based**, **dynamics-based**, and **distributed** framework for _collaborative agile manipulation of cable-suspended loads_. For the control side, a starting point are the existing centralized approaches based on Model Predictive Control (MPC) for single
- [9] and multi-aerial robots [1,6]. Our team has undertaken preliminary work exploring the extension of [1] through a distributed MPC solution based on [9], initia


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