C. Daniel Freeman

Google (United States)

Papers

1

Total Citations

4

H-Index

1

About

C. Daniel Freeman is a leading researcher in robotic manipulation, with a focus on enabling safe and effective physical interaction between robots and their environments. His work bridges planning and control, particularly in operational and null spaces, to allow robots to achieve goal-reaching tasks while safely making contact with obstacles—a departure from traditional collision-avoidance approaches. His 2023 paper, "Allowing Safe Contact in Robotic Goal-Reaching," has garnered 4 citations, reflecting its emerging influence in the field. Freeman’s contributions are notable for addressing a critical gap in robotics: mimicking human-like manipulation, where contact with the environment is often necessary and beneficial. By integrating safety constraints into motion planning and tracking, his research advances practical applications in manufacturing, healthcare, and service robotics. His work is particularly valuable for students and researchers interested in human-robot interaction, as it challenges conventional paradigms and opens new avenues for compliant, adaptive robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Allowing Safe Contact in Robotic Goal-Reaching: Planning and Tracking in Operational and Null Spaces
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Google (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago