Aiden Swann
Scholar

Aiden Swann

Google Scholar ID: feH32sgAAAAJ
Stanford
robot learningtactile sensingsafety critical controldexterous manipulation
Citations & Impact
All-time
Citations
187
 
H-index
6
 
i10-index
4
 
Publications
10
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Published or under review papers include: DexFruit, TensorTouch, Splat-Nav, SAFER-Splat, Next Best Sense, Splat-MOVER, Touch-GS, Safe Drone Flight with Time-varying Backup Controllers, Onboard Safety Guarantees for Racing Drones: High-speed Geofencing with Control Barrier Functions.
Research Experience
  • Current research projects include: DexFruit (dexterous manipulation and Gaussian splatting inspection of fruit), TensorTouch (calibration of tactile sensors for high resolution stress tensor and deformation for dexterous manipulation), Splat-Nav (safe real-time robot navigation in Gaussian splatting maps), SAFER-Splat (safety with control barrier functions in online Gaussian splatting maps), Next Best Sense (guiding vision and touch with FisherRF for 3D Gaussian splatting), etc.
Education
  • Started his PhD at Stanford University in September 2023, focusing on tactile sensing for robotics.
Background
  • PhD student in Mechanical Engineering at Stanford University, co-advised by Prof. Monroe Kennedy and Prof. Mac Schwager. He is a member of the ARM Lab and the Multi-Robot Systems Lab. His research interests include leveraging tactile sensing for dexterous manipulation and making vision language action (VLA) models more generalizable.
Miscellany
  • Personal interests include photography.