Decision Making, Planning and Control of Autonomous Vehicles
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 2133
Editor
Interests: control of nonlinear systems; fuzzy logic and artificial neural networks; vehicle dynamics; mechanical vibrations; robot kinematics and robot singularity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Autonomous vehicles are highly dependent on the interconnectedness of decision, plan and control tasks to run efficiently in a safe environment when faced with complicated, unpredictable, dynamic scenarios. Although significant progress has been made, the challenge of robustness still remains a problem because of unclear perceptions, unpredictable behavior from agents, real-time constraints and safety factors. This Special Issue proposes to detail breakthroughs that can overcome such challenges with novel theories, models and system design paradigms.
This Special Issue is centered on frameworks for decision making under uncertainty, risk-aware and ethically sound autonomy, as well as learning-assisted approaches to behavior synthesis and policy optimization.
Techniques for motion planning and trajectory synthesis that seek to optimize, keep safe and compute efficiently are of particular interest, as are control solutions that ensure robust stability, flexibility and soundness in most operating conditions. Solutions combining control with learning, provided they address safety, interpretability and soundness, are especially welcome.
This Special Issue also calls for contributions on cooperative and networked autonomous systems, multi-agent interactions as well as human–vehicle coexistence in shared environments. The Special Issue proposes to facilitate the development of trustworthy, scalable, robust and reliable autonomous vehicle technologies for future intelligent transportation systems and autonomous robotic systems by exploring real-world requirements in relation to theoretical foundations.
Prof. Dr. Ossama Mokhiamar
Guest Editor
Manuscript Submission Information
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Keywords
- autonomous vehicles
- decision making under uncertainty
- motion and path planning
- trajectory optimization
- autonomous control systems
- safety and verification
- human–vehicle interaction
- intelligent transportation systems
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