What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Control theory
Cristian Secchi focuses on Control engineering, Control theory, Robot, Passivity and Telerobotics.
His Control engineering research is multidisciplinary, incorporating perspectives in Distributed computing, Control, Teleoperation and Haptic technology.
In general Control theory study, his work on Stability and Observer often relates to the realm of Elasticity, thereby connecting several areas of interest.
His Robot study combines topics from a wide range of disciplines, such as Stiffness and Adaptation.
The study incorporates disciplines such as Control theory, Discrete time and continuous time, Robot end effector and Stiffness matrix in addition to Passivity.
The various areas that Cristian Secchi examines in his Telerobotics study include Electronic engineering, Compensation, Simulation and Sensor fusion.
His most cited work include:
- Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications (196 citations)
- Bilateral Telemanipulation With Time Delays: A Two-Layer Approach Combining Passivity and Transparency (192 citations)
- Shared Control : Balancing Autonomy and Human Assistance with a Group of Quadrotor UAVs (153 citations)
What are the main themes of his work throughout his whole career to date?
Cristian Secchi spends much of his time researching Robot, Control theory, Control engineering, Mobile robot and Passivity.
His studies deal with areas such as Trajectory, Distributed computing and Human–computer interaction as well as Robot.
His Control theory research includes themes of Telerobotics, Admittance, Energy and Port.
As part of one scientific family, Cristian Secchi deals mainly with the area of Control engineering, narrowing it down to issues related to the Control, and often Flexibility.
His Mobile robot study combines topics in areas such as Motion, Collision avoidance and Motion planning.
Cristian Secchi interconnects Control theory and Compensation in the investigation of issues within Passivity.
He most often published in these fields:
- Robot (42.35%)
- Control theory (31.76%)
- Control engineering (24.71%)
What were the highlights of his more recent work (between 2019-2021)?
- Robot (42.35%)
- Control (11.76%)
- Distributed computing (14.51%)
In recent papers he was focusing on the following fields of study:
Cristian Secchi mainly focuses on Robot, Control, Distributed computing, Human–robot interaction and Task.
Cristian Secchi combines subjects such as Control engineering, Layer, Compensation and Human–computer interaction with his study of Robot.
While the research belongs to areas of Control, Cristian Secchi spends his time largely on the problem of Flexibility, intersecting his research to questions surrounding Robot manipulator, Stability, Behavior-based robotics and Variable.
Cristian Secchi works mostly in the field of Distributed computing, limiting it down to topics relating to Task analysis and, in certain cases, Autonomous system, Operator and Metric.
His study in Human–robot interaction is interdisciplinary in nature, drawing from both Wearable technology and Real-time computing.
His Teleoperation study integrates concerns from other disciplines, such as Graph, Mobile robot, Energy, Optimization problem and Topology.
Between 2019 and 2021, his most popular works were:
- A Passivity-Based Approach for Simulating Satellite Dynamics With Robots: Discrete-Time Integration and Time-Delay Compensation (5 citations)
- A Control Barrier Function Approach for Maximizing Performance while Fulfilling to ISO/TS 15066 Regulations (4 citations)
- Safety barrier functions and multi-camera tracking for human–robot shared environment (4 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Programming language
Cristian Secchi mostly deals with Robot, Control theory, Control, Teleoperation and Passivity.
The Human–robot interaction and Robotics research Cristian Secchi does as part of his general Robot study is frequently linked to other disciplines of science, such as Cognitive test, Affect and Mental state, therefore creating a link between diverse domains of science.
His Control theory research focuses on Compensation in particular.
His Control research is multidisciplinary, relying on both Kalman filter, Barrier function, Real-time computing and Acceleration.
In his study, Human–computer interaction is strongly linked to Robot end effector, which falls under the umbrella field of Teleoperation.
His studies in Passivity integrate themes in fields like Perspective, Discrete time and continuous time, Dynamic simulation and Hardware-in-the-loop simulation.
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