Papers
9
Total Citations
80
H-Index
5
About
Juan Heredia is a robotics researcher whose work sits at the compelling intersection of energy efficiency, human-robot interaction, and sustainable manufacturing. His primary contributions focus on understanding and optimizing energy consumption in collaborative and lightweight robots — a timely area of inquiry given mounting global pressure to align industrial practices with the United Nations Sustainable Development Goals. Heredia's most influential work, "Data-Driven Energy Estimation of Individual Instructions in User-Defined Robot Programs" (2021, 27 citations), pioneered instruction-level energy modeling for collaborative robots, enabling programmers to make energy-aware decisions during task design. This was complemented by his development of the ECDP pipeline (2023, 21 citations), a disaggregation framework that breaks down energy consumption into actionable components for lightweight manipulators. His open-source MATLAB library, EcBot, further democratizes these tools for the broader research community. Beyond energy research, Heredia has made meaningful contributions to human-robot interaction, developing CobotGear — a wearable optical motion capture system enabling intuitive, safe collaboration between humans and robots (2020, 12 citations) — and investigating augmented reality interfaces to modernize cobot programming. With over 80 cumulative citations, his work is shaping a more sustainable and human-centered future for industrial robotics.
Research Focus
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Top Papers
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