Control and Motion Planning in Industrial Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 22161
Special Issue Editors
Interests: industrial robotics; human–robot interaction; machine learning
Interests: industrial robotics; human–robot collaboration; motion planning; task planning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Motion planning is a crucial issue in robotics and related industrial applications. Among the many challenges in the field, three trends have emerged in recent years.
First, robots are becoming more and more collaborative and fenceless. Collaborative robots are used in assembly/disassembly, pick&place, and sorting lines as human companions, making humans and robots a team. In such contexts, human and robot behavior are coupled. Innovative methods and the use of motion planning are expected to improve the safety, ergonomics, natural interaction, and efficiency of human–robot collaboration.
Second, the number of interacting robots is increasing year by year and multi-arm interpolation is very challenging in many applications. The planning of such setups requires extremely long computation time and the optimization and selection of trajectories often rely on heuristic and narrow assumptions. Furthermore, the design of multi-robot cells, i.e., the selection of resources and their placement, is a critical aspect.
Third, robots are required to operate at high speeds to achieve shorter production times. Industrial manipulators are the standard for the automation of manufacturing tasks. However, their main drawback is higher compliance compared to standard machining tools, with consequent poorer accuracy, that could be compensated through proper motion planning strategies.
A common thread through these application scenarios is the limited time the user has to program the robot application. Indeed, motion planning does not only mean identifying the optimal trajectory in large and complex research spaces, but also providing tools that can be easily deployed. Cutting-edge motion planners, therefore, need to solve the problem according to a large and diversified set of constraints, which are often critical and only partially predictable.
We invite researchers to contribute original works and qualified reviews related to this Special Issue, focusing on both theoretical methodology and real implementations.
Dr. Nicola Pedrocchi
Dr. Marco Faroni
Guest Editors
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Keywords
- Path planning
- Meta-heuristic and sampling-based motion planners
- Control and motion planning for precision technological operations (such as machining, additive manufacturing, laser cutting)
- Learning-based motion planning
- Combined task and motion planning
- Control and motion planning for compliant mechanisms
- Applications of robotic and mechatronic systems
- Model-based approaches to kinodynamic motion planning and their applications
- Safety in control and motion planning for human-robot interaction
- Motion planning for human-robot improved acceptance and ergonomics
- Motion planning in human-robot cooperative applications, with a proper analysis of safety, ergonomics, and productivity in realistic applications
- Perception and planning
- Massive computation and its application to fast reactive and efficient motion planning
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