Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …

Tactile perception is key for robotics applications such as manipulation. However, tactile
data collection is time-consuming, especially when compared to vision. This limits the use of …

Tubular objects such as test tubes are common in chemistry and life sciences research
laboratories, and robots that can handle them have the potential to accelerate experiments …

Transferring optical tactile skills learned from simulated environments to the real world
benefits many robotic tactile applications, which can reduce the cost of data collection …

Simulating tactile perception could potentially leverage the learning capabilities of robotic
systems in manipulation tasks. However, the reality gap of simulators for high-resolution …

Soft robotic grippers facilitate contact-rich manipulation, including robust grasping of varied
objects. Yet the beneficial compliance of a soft gripper also results in significant deformation …

The use of data-driven techniques for tactile data processing and classification has recently
increased. However, collecting tactile data is a time-expensive and sensor-specific …

Automation of the food handling process is not an easy problem. Grasping irregular-shaped
objects with varying stiffness by robot hands is challenging, especially when the objects …

In this work, we introduce AllSight, a novel optical tactile sensor with a round 3D structure
designed for robotic in-hand manipulation. We highlight its primarily 3D-printed construction …