Soft Robotics for Search and Rescue: Advancements, Challenges, and Future Directions
Abhishek Sebastian
- 发表年份
- 2025
- 访问权限
- 开放获取
摘要
Soft robotics has emerged as a transformative technology in Search and Rescue (SAR) operations, addressing challenges in navigating complex, hazardous environments that often limit traditional rigid robots. This paper critically examines advancements in soft robotic technologies tailored for SAR applications, focusing on their unique capabilities in adaptability, safety, and efficiency. By leveraging bio-inspired designs, flexible materials, and advanced locomotion mechanisms, such as crawling, rolling, and shape morphing, soft robots demonstrate exceptional potential in disaster scenarios. However, significant barriers persist, including material durability, power inefficiency, sensor integration, and control complexity. This comprehensive review highlights the current state of soft robotics in SAR, discusses simulation methodologies and hardware validations, and introduces performance metrics essential for their evaluation. By bridging the gap between theoretical advancements and practical deployment, this study underscores the potential of soft robotic systems to revolutionize SAR missions and advocates for continued interdisciplinary innovation to overcome existing limitations.
关键词
相关论文
基于非线性滑模模型预测控制与自适应跟随转向及动静态约束的六轮独立驱动/四轮独立转向无人地面车辆轨迹跟踪控制
Shengyang Lu, Guanpeng Chen, Lijing Zhao 等 5 位作者
Robotics and Autonomous Systems · 2026
仿生水下机器人:材料、设计、控制与应用进展
Dilip Muchhala, Pramod Kumar Maurya, Adarsh Raut 等 6 位作者
Robotics and Autonomous Systems · 2026
刚柔混合连杆人形机器人的建模与控制
Zewen He, Taiki Ishigaki, Ko Yamamoto
Robotics and Autonomous Systems · 2026
人-外骨骼-助行器系统的人工推动自适应协调控制
Xinhao Zhang, Chen Yang, Chaobin Zou 等 7 位作者
Robotics and Autonomous Systems · 2026