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Dive into the research topics where Cristian Secchi is active.

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Featured researches published by Cristian Secchi.


IEEE Transactions on Robotics | 2011

Bilateral Telemanipulation With Time Delays: A Two-Layer Approach Combining Passivity and Transparency

Michel Franken; Stefano Stramigioli; Sarthak Misra; Cristian Secchi; Alessandro Macchelli

In this paper, a two-layer approach is presented to guarantee the stable behavior of bilateral telemanipulation systems in the presence of time-varying destabilizing factors such as hard contacts, relaxed user grasps, stiff control settings, and/or communication delays. The approach splits the control architecture into two separate layers. The hierarchical top layer is used to implement a strategy that addresses the desired transparency, and the lower layer ensures that no “virtual” energy is generated. This means that any bilateral controller can be implemented in a passive manner. Separate communication channels connect the layers at the slave and master sides so that information related to exchanged energy is completely separated from information about the desired behavior. Furthermore, the proposed implementation does not depend on any type of assumption about the time delay in the communication channel. By complete separation of the properties of passivity and transparency, each layer can accommodate any number of different implementations that allow for almost independent optimization. Experimental results are presented, which highlight the benefit of the proposed framework.


IEEE Transactions on Robotics | 2012

Bilateral Teleoperation of Groups of Mobile Robots With Time-Varying Topology

Antonio Franchi; Cristian Secchi; Hyoung Il Son; Hh Bülthoff; Paolo Robuffo Giordano

In this paper, a novel decentralized control strategy for bilaterally teleoperating heterogeneous groups of mobile robots from different domains (aerial, ground, marine, and underwater) is proposed. By using a decentralized control architecture, the group of robots, which is treated as the slave side, is made able to navigate in a cluttered environment while avoiding obstacles, interrobot collisions, and following the human motion commands. Simultaneously, the human operator acting on the master side is provided with a suitable force feedback informative of the group response and of the interaction with the surrounding environment. Using passivity-based techniques, we allow the behavior of the group to be as flexible as possible with arbitrary split and join events (e.g., due to interrobot visibility/packet losses or specific task requirements) while guaranteeing the stability of the system. We provide a rigorous analysis of the system stability and steady-state characteristics and validate performance through human/hardware-in-the-loop simulations by considering a heterogeneous fleet of unmanned aerial vehicles (UAVs) and unmanned ground vehicles as a case study. Finally, we also provide an experimental validation with four quadrotor UAVs.


IEEE Robotics & Automation Magazine | 2012

Shared Control : Balancing Autonomy and Human Assistance with a Group of Quadrotor UAVs

Antonio Franchi; Cristian Secchi; Markus Ryll; Hh Bülthoff; Paolo Robuffo Giordano

Robustness and flexibility constitute the main advantages of multiple-robot systems with respect to single-robot ones as per the recent literature. The use of multiple unmanned aerial vehicles (UAVs) combines these benefits with the agility and pervasiveness of aerial platforms [1], [2]. The degree of autonomy of the multi-UAV system should be tuned according to the specificities of the situation under consideration. For regular missions, fully autonomous UAV systems are often appropriate, but, in general, the use of semiautonomous groups of UAVs, supervised or partially controlled by one or more human operators, is the only viable solution to deal with the complexity and unpredictability of real-world scenarios as in, e.g., the case of search and rescue missions or exploration of large/cluttered environments [3]. In addition, the human presence is also mandatory for taking the responsibility of critical decisions in high-risk situations [4].


intelligent robots and systems | 2002

A novel theory for sampled data system passivity

Stefano Stramigioli; Cristian Secchi; A.J. van der Schaft; Cesare Fantuzzi

This paper presents a novel approach to the interconnection of a continuous time and a discrete time physical system. This is done in a way which preserves the passivity of the coupled system independently of the sampling time. A direct application in the field of haptic displays, where a virtual environment should feel like equivalent physical systems, is presented.


IEEE-ASME Transactions on Mechatronics | 2011

A SysML-Based Methodology for Manufacturing Machinery Modeling and Design

Luca Bassi; Cristian Secchi; Marcello Bonfe; Cesare Fantuzzi

This paper describes a modeling methodology to support the design process of complex systems. The main challenge in modern industrial applications is the sheer volume of data involved in the design process. While using high-level abstraction is necessary to manage this data and analyze the system “as a whole,” designers need also to retain all the low-level information of the system, in order to be able to perform optimizations and modifications at later times. The solution proposed here is to use a hierarchy of models, each one describing the system at different levels of abstraction, and arrange them in such a way that it is possible to easily “map” each level onto the others. The topmost layer of the system description is expressed in System Modeling Language, a general-purpose modeling language based on Unified Modeling Language.


IEEE Transactions on Robotics | 2013

Distributed Control of Multirobot Systems With Global Connectivity Maintenance

Lorenzo Sabattini; Cristian Secchi; Nikhil Chopra; Andrea Gasparri

This study introduces a control algorithm that, exploiting a completely decentralized estimation strategy for the algebraic connectivity of the graph, ensures the connectivity maintenance property for multi robot systems, in the presence of a generic (bounded) additional control term. This result is obtained by driving the robots along the negative gradient of an appropriately defined function of the algebraic connectivity. The proposed strategy is then enhanced with the introduction of the concept of critical robots, that is robots for which the loss of a single communication link might cause the disconnection of the communication graph. Limiting the control action to critical robots will be shown to reduce the control effort that is introduced by the proposed connectivity maintenance control law and to mitigate its effect on the additional (desired) control term.


The International Journal of Robotics Research | 2013

Decentralized connectivity maintenance for cooperative control of mobile robotic systems

Lorenzo Sabattini; Nikhil Chopra; Cristian Secchi

To accomplish cooperative tasks, robotic systems are often required to communicate with each other. Thus, maintaining connectivity of the communication graph is a fundamental issue in the field of multi-robot systems. In this paper we present a completely decentralized control strategy for global connectivity maintenance of the communication graph. Considering the disk communication model, we describe a gradient-based control strategy that exploits decentralized estimation of the algebraic connectivity. Unlike previous approaches available in the literature, the proposed control algorithm solves the global connectivity problem in a decentralized manner providing theoretical guarantees, without requiring maintenance of the local connectivity between robotic systems. Moreover, results obtained with simulations and experiments on real robots are described for demonstrating the efficacy of the proposed algorithm.


international conference on robotics and automation | 2011

A passivity-based decentralized approach for the bilateral teleoperation of a group of UAVs with switching topology

Antonio Franchi; Paolo Robuffo Giordano; Cristian Secchi; Hyoung Il Son; Hh Bülthoff

In this paper, a novel distributed control strategy for teleoperating a fleet of Unmanned Aerial Vehicles (UAVs) is proposed. Using passivity based techniques, we allow the behavior of the UAVs to be as flexible as possible with arbitrary split and join decisions while guaranteeing stability of the system. Furthermore, the overall teleoperation system is also made passive and, therefore, characterized by a stable behavior both in free motion and when interacting with unknown passive obstacles. The performance of the system is validated through semi-experiments.


Autonomous Robots | 2011

Arbitrarily shaped formations of mobile robots: artificial potential fields and coordinate transformation

Lorenzo Sabattini; Cristian Secchi; Cesare Fantuzzi

In this paper we describe a novel decentralized control strategy to realize formations of mobile robots. We first describe how to design artificial potential fields to obtain a formation with the shape of a regular polygon. We provide a formal proof of the asymptotic stability of the system, based on the definition of a proper Lyapunov function. We also prove that our control strategy is not affected by the problem of local minima. Then, we exploit a bijective coordinate transformation to deform the polygonal formation, thus obtaining a completely arbitrarily shaped formation. Simulations and experimental tests are provided to validate the control strategy.


international conference on robotics and automation | 2003

Digital passive geometric telemanipulation

Cristian Secchi; Stefano Stramigioli; Cesare Fantuzzi

In this paper we present an intrinsically passive telemanipulation scheme over a digital transmission line Internet-like. We present an analysis of the energetic behavior of the communication line both in case of loss of packages and in case of variable delay. The sample data nature of the passive controller is explicitly taken into account following the approach outlined.

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Dive into the Cristian Secchi's collaboration.

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Cesare Fantuzzi

University of Modena and Reggio Emilia

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Lorenzo Sabattini

University of Modena and Reggio Emilia

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Federica Ferraguti

University of Modena and Reggio Emilia

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Valerio Digani

University of Modena and Reggio Emilia

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Alessio Levratti

University of Modena and Reggio Emilia

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Roberto Olmi

University of Modena and Reggio Emilia

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