Uncertainty in modeling real world physics makestransferring traditional open-loop motion planning techniquesfrom simulation to the real world particularly challenging.Available closed-loop policy learning approaches, for physics-based manipulation tasks, typically either focus on single objectmanipulation, or rely on imitation learning, which inherentlyconstrains task g...

Cooperative object manipulation control of rigid-flexible multi-body systems in space is studied in this paper. During such tasks, flexible members like solar panels may get vibrated that in turn may lead to some oscillatory disturbing forces on other subsystems, and consequently produces error in the motion of the end-effectors of the cooperative manipulating arms. Therefore, to design and dev...

Previous studies on nanomanipulation using Atomic Force Microscope (AFM) go through the scandesign-manipulation-scan cycle, in which an operator does not have any real-time visual feedback during manipulation. In this paper, a simple model of tip-substrate-object interactive forces has been presented for the qualitative and quantitative analysis. Based on this model, the real-time tip-substrate...

Recent advancement in vision-based robotics and deep-learning techniques has enabled the use of intelligent systems a wider range applications requiring object manipulation. Finding robust solution for grasping autonomous manipulation became focus many engineers is still one most demanding problems modern robotics. This paper presents full pipeline proposing real-time data-driven approach robot...