Papers
18
Total Citations
154
H-Index
8
About
Alberto Vale is a leading researcher in autonomous robotics for extreme environments, with a primary focus on remote handling operations for nuclear fusion facilities like ITER. His work centers on trajectory optimization, motion planning, and sensor integration for mobile robots operating in hazardous, unstructured settings. Vale’s most impactful contributions include developing a motion planning methodology for rhombic-like vehicles in ITER scenarios (14 citations) and pioneering trajectory optimization for autonomous mobile robots within the same facility (19 citations). He has also advanced multi-purpose rescue and remote assistance systems, integrating human-robot interfaces for ITER maintenance (14 citations). His comparative analysis of Color-Depth cameras, LIDAR, and other sensors for localization in nuclear facilities (13 citations) is a key reference for sensor selection in radioactive environments. Beyond fusion, Vale has applied his expertise to autonomous construction, designing a mobile manipulator for building heterogeneous brick patterns (10 citations) and a multipurpose system for firefighting and structure assembly (8 citations). With over 100 total citations across his most-cited works, Vale’s research is instrumental in enabling safe, efficient robotic operations in nuclear, industrial, and search-and-rescue contexts.
Research Focus
Key Achievements
Top Papers
- 1Trajectory optimization for autonomous mobile robots in ITER19 citations · 2014
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