Carlos Recalde
Papers
1
Total Citations
33
H-Index
1
About
Carlos Recalde is a leading researcher at the intersection of industrial robotics and programmable network infrastructures. His work focuses on achieving ultra-low latency control for collaborative robots, addressing the critical challenge of safe human-robot interaction in dynamic environments. Recalde’s most cited paper, “Towards Low Latency Industrial Robot Control in Programmable Data Planes” (2020, 33 citations), pioneers the use of in-network computing to bypass traditional control loops, enabling robots to react instantaneously to sudden obstacles or human presence. This contribution is foundational for next-generation smart factories, where real-time adaptability is paramount. By leveraging programmable data planes, Recalde has demonstrated that network infrastructure itself can serve as a high-speed control plane, dramatically reducing response times. His work is notable for bridging the gap between advanced robotics and software-defined networking, earning recognition among both industrial automation and computer networking communities. Recalde’s research not only advances the safety and efficiency of collaborative robotics but also opens new avenues for distributed, low-latency control in Industry 4.0 applications.
Research Focus
Key Achievements
Top Papers
- 1Towards Low Latency Industrial Robot Control in Programmable Data Planes33 citations · 2020