4 accepted papers
Reliable robotic manipulation requires control policies that can accurately represent and adapt to uncertainty arising from contact-rich interactions. Modern data-driven methods mitigate uncertainty through large-scale training and computation, and degrade significantly in performance with limited n…
The increasing complexity of tasks performed by hybrid aerial robotic systems, such as tail-sitters, demands a more integrated approach to their design. Traditional sequential design methods fall short because they separate the control system design from the conceptual design, limiting the poten-tia
Precise identification of dynamic models in robotics is essential to support dynamic simulations, control design, friction compensation, output torque estimation, etc. A longstanding challenge remains in the development and identification of friction models for robotic joints, given the numerous phy
Industrial robots can collide due to malfunctioning, wrong user input or unforeseen changes in the environment in which they operate. Different solutions exist to minimize the damage caused by a collision, either absorbed by the environment or by the robot itself. The specific solution depends on th