About

Janine Hoelscher is a robotics researcher whose work spans two distinct but complementary domains: medical robotics and tactile sensing for autonomous manipulation. Her early research into tactile feature extraction for object recognition — her most-cited work with 66 citations — established foundational methods for enabling robots to identify objects through touch, a capability critical for dexterous manipulation in unstructured environments. Her more recent and prolific contributions center on steerable needle robotics for minimally invasive medical procedures, particularly lung cancer biopsy. Hoelscher has advanced autonomous needle steering in living tissue (45 citations), developed backward planning algorithms for lung biopsy robots (31 citations), and created metrics and frameworks for safe, robust needle deployment — addressing the practical realities of human-robot handoff in clinical settings. Her 2023 work on bronchoscope localization under respiratory deformation tackles one of the field's most challenging problems: accurate navigation in a moving, deforming anatomy. Beyond her technical research, Hoelscher has contributed to educational robotics, investigating how physical robot programming can enhance computational thinking in undergraduate students. With over 170 cumulative citations across her portfolio, her work reflects a sustained commitment to making autonomous robotic systems safer, more capable, and more accessible — both in operating rooms and classrooms.

Research Focus

Key Achievements

6
H-Index
10
Papers
178
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of tactile feature extraction for interactive object recognition
66 citations · 2015
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Laboratoire d'Informatique de Paris-Nord, University of North Carolina at Chapel Hill, Technische Universität Darmstadt, Clemson University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago