Autonomous Operation of Robots in Complex Environment
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 15 February 2026 | Viewed by 8
Special Issue Editors
Interests: autonomous operations of multi-agent systems; constrained optimal guidance and control design of aerospace vehicles; path planning and obstacle avoidance of aerial robots and drones in agriculture
Interests: probabilistic robust control; risk-bounded motion planning; security of cyber-physical systems; adaptive control for uncertain networks
Special Issue Information
Dear Colleagues,
Robots have started to become an integral part of our society. The autonomy stack that governs the decision-making of robots has gone through several drastic changes in the last 20 years, stemming from the active investigation this topic. Almost all world governments have started to draft laws to safely incorporate robotic agents into our future living style. With human lives at stake, it is important to guarantee safety while deploying these autonomous robots to solve real-world problems. Motion planning for robots involves the planning of a route from a given source to a destination, and when robots are operating in uncertain, cluttered environments, the path planning should be performed by considering these factors. With several advances in stochastic optimization, motion planning under conditions of uncertainty has evolved substantially to give realistic safety guarantees.
This Special Issue aims to discuss open research problems and revisit old but relevant areas in motion planning under conditions of uncertainty. This will help both governments and industry understand the state of the art in this research area. Subsequently, this publications will also aim to build a roadway map for futuristic path planning with enhanced safety and ethical guarantees.
In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following areas:
1. Language models for robotics;
2. Multi-robot planning & control;
3. Cooperative control & swarms;
4. Advances in navigation, perception & SLAM;
5. Safe decision-making under uncertainty;
6. Risk-aware autonomy;
7. Formal verification in robotics;
8. Aerial & field robotics.
I look forward to receiving your contributions.
Dr. Sabyasachi Mondal
Dr. Venkatraman Renganathan
Guest Editors
Manuscript Submission Information
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Keywords
- multi-robot planning
- cooperative control
- swarm, risk-aware
- autonomy
- learning-based guidance
- aerial robotics
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