Jonathan Francis
Scholar

Jonathan Francis

Google Scholar ID: 7CLS0LwAAAAJ
Carnegie Mellon University, Bosch Center for Artificial Intelligence
Multimodal Machine LearningRobot LearningArtificial IntelligenceSensing
Citations & Impact
All-time
Citations
1,487
 
H-index
19
 
i10-index
33
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • August 2025: Two papers accepted to CoRL 2025: 'KineSoft' and 'GraphEQA'
  • July 2025: Paper 'SEAL' accepted by RA-L
  • June 2025: Paper 'MOSAIC' accepted to ICCV 2025
  • May 2025: Paper 'Your Learned Constraint is Secretly a Backward Reachable Tube' accepted to RLC 2025
  • April 2025: Paper 'Human2LocoMan' accepted to RSS 2025
  • January 2025: Papers 'CaDRE' (ICRA 2025) and 'STRAP' (ICLR 2025) accepted
  • November 2024: Work on volumetric deformable object manipulation named 'Best Oral Paper Finalist' at IEEE Humanoids 2024
  • November 2024: Paper 'RoPotter' accepted to IEEE Humanoids 2024
  • October 2024: Paper on vision-language models for traffic accident understanding received 'Best Paper Runner-up' at IEEE IAVVC 2024
  • January 2024: Paper on multi-sensory object representations accepted to ICRA 2024
  • March 2025: Named Bosch Expert in Robot Learning and Multimodal ML
  • Active organizer and committee member for workshops at CoRL, RSS, ICRA, Humanoids, etc.
Background
  • Senior Research Scientist at the Bosch Center for Artificial Intelligence (BCAI) in Pittsburgh, PA, USA.
  • Courtesy Faculty in the Robotics Institute at Carnegie Mellon University (CMU).
  • Robotics Research Program Lead at the Carnegie Bosch Institute, CMU.
  • Leads the Robot Learning Lab (RLL) at BCAI North America, focusing on autonomous systems that learn safe, robust, multimodal, and transferrable representations of the world.
  • Research emphasizes dexterous manipulation for manufacturing via robot foundation models and cross-embodiment transfer representation learning.