Daniel Vidal-Soroa
Papers
1
Total Citations
2
H-Index
1
About
Daniel Vidal-Soroa is a researcher at the intersection of cognitive robotics and real-time computer vision, with a primary focus on enabling machines to perceive and interact with dynamic environments. His most notable contribution, detailed in his 2022 paper "An Approach to 3D Object Detection in Real-Time for Cognitive Robotics Experiments," addresses a critical challenge in robotics: the need for fast, accurate 3D perception to support higher-level cognitive functions. While this work has garnered 2 citations to date, it represents a foundational step in bridging the gap between low-level sensor processing and high-level reasoning in robotic systems. Vidal-Soroa's approach emphasizes efficiency and robustness, making it particularly relevant for experiments where robots must adapt to unpredictable surroundings. His research holds promise for advancing autonomous systems in areas such as human-robot collaboration and exploratory robotics. By focusing on real-time performance, he contributes to the broader goal of creating robots that can learn and react in real-world settings, a key ambition in modern cognitive science and artificial intelligence.
Research Focus
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Top Papers
- 1