6 papers
In-the-Wild Compliant Manipulation with UMI-FT
Hojung Choi, Yifan Hou, Chuer Pan +5
Many manipulation tasks require careful force modulation. With insufficient force the task may fail, while excessive force could cause damage. The high cost, bulky size and fragili…
SLAP: Slapband-based Autonomous Perching Drone with Failure Recovery for Vertical Tree Trunks
Julia Di, Kenneth A. W. Hoffmann, Tony G. Chen +2
Perching allows unmanned aerial vehicles (UAVs) to reduce energy consumption, remain anchored for surface sampling operations, or stably survey their surroundings. Previous efforts…
Gentle Object Retraction in Dense Clutter Using Multimodal Force Sensing and Imitation Learning
Dane Brouwer, Joshua Citron, Heather Nolte +2
Dense collections of movable objects are common in everyday spaces-from cabinets in a home to shelves in a warehouse. Safely retracting objects from such collections is difficult f…
TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types
Yuhao Lin, Yi-Lin Wei, Haoran Liao +6
Dexterous teleoperation plays a crucial role in robotic manipulation for real-world data collection and remote robot control. Previous dexterous teleoperation mostly relies on hand…
CoinFT: A Coin-Sized, Capacitive 6-Axis Force Torque Sensor for Robotic Applications
Hojung Choi, Jun En Low, Tae Myung Huh +7
We introduce CoinFT, a capacitive 6-axis force/torque (F/T) sensor that is compact, light, low-cost, and robust with an average root-mean-squared error of 0.16N for force and 1.08m…
DexForce: Extracting Force-informed Actions from Kinesthetic Demonstrations for Dexterous Manipulation
Claire Chen, Zhongchun Yu, Hojung Choi +2
Imitation learning requires high-quality demonstrations consisting of sequences of state-action pairs. For contact-rich dexterous manipulation tasks that require dexterity, the act…