This inventor holds 4 USPTO granted patents. Top assignee: Sandia Corporation. Active years: 2002-2004.
Location History:
- College Station, TX (US) (2002 - 2004)
- Albuquerque, NM (US) (2003 - 2004)
Company Filing History:
Years Active: 2002-2004
Title: John E Hurtado: Innovator in Robotics and Optimization Systems
Introduction
John E Hurtado is a prominent inventor based in Albuquerque, NM (US). He has made significant contributions to the fields of robotics and optimization systems. With a total of 4 patents to his name, Hurtado's work focuses on enhancing the capabilities of mobile robots and distributed optimization techniques.
Latest Patents
Hurtado's latest patents include a "Distributed Optimization System," which is a search system and method designed to control multiple agents for optimizing various objectives through distributed sensing and cooperative control. This innovative system can utilize both physical agents, such as robots, and software agents for searching cyberspace. The objectives of this system can range from detecting chemical, temperature, and radiation sources to locating evaders and optimizing control in systems like communication networks and multi-processor computers. Another notable patent is for "Cooperating Mobile Robots," which describes a miniature mobile robot that offers a cost-effective solution for area searching. This robotic system allows multiple mobile robots to work in teams, sharing information to effectively locate sources.
Career Highlights
Hurtado is currently employed at Sandia Corporation, where he continues to develop and refine his innovative ideas. His work at Sandia has positioned him as a key player in advancing robotic technologies and optimization methods.
Collaborations
Throughout his career, Hurtado has collaborated with notable colleagues, including Raymond H Byrne and John J Harrington. These collaborations have further enriched his work and contributed to the development of cutting-edge technologies.
Conclusion
John E Hurtado's contributions to robotics and optimization systems demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of complex systems and a vision for the future of technology.
