Mitchell Fogelson

Carnegie Mellon University, Rakuten (Japan)

Papers

2

Total Citations

21

H-Index

2

About

Mitchell Fogelson is a robotics researcher whose work bridges mechanical design, human-robot interaction, and computational synthesis. His most impactful contribution is the development of GCP-HOLO, a novel algorithm for path synthesis in one degree-of-freedom (1DOF) linkages—a fundamental challenge in mechanical systems due to nonlinear constraints and combinatorial complexity. This work, published in 2023, has already garnered 18 citations, reflecting its significance in advancing automated linkage design. Fogelson’s research addresses a persistent bottleneck in engineering: enabling machines to generate efficient, physically realizable mechanisms from desired motion paths. Beyond computational kinematics, he explores the social dimension of robotics through the EMI platform—an expressive, mobile interactive robot with a rear-projected face and omnidirectional sensing. Although EMI has 3 citations to date, it represents an early effort to integrate emotional behavior into robot design, probing how nonverbal cues shape human-robot interaction. Fogelson’s dual focus on algorithmic synthesis and socially aware robotics positions him at the intersection of theoretical rigor and human-centered design, making his work relevant for students and researchers interested in both the mechanics and psychology of autonomous systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
21
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
GCP-HOLO: Generating High-Order Linkage Graphs for Path Synthesis
18 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Carnegie Mellon University, Rakuten (Japan)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago