4 papers
Multisensory Continual Learning: Adapting Pretrained Visuomotor Policies to Force
Jaden Clark, Changhao Wang, Yihuai Gao +5
Robot manipulation often relies on sensory feedback beyond vision, particularly in contact-rich settings where force, tactile, or audio signals reveal interaction states that are n…
Multimodal Sensing for Robot-Assisted Sub-Tissue Feature Detection in Physiotherapy Palpation
Tian-Ao Ren, Jorge Garcia, Seongheon Hong +6
Robotic palpation relies on force sensing, but force signals in soft-tissue environments are variable and cannot reliably reveal subtle subsurface features. We present a compact mu…
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…
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…