7 accepted papers
Supernumerary Robotic Limbs (SRLs) offer considerable promise for assisting wearers in complex tasks, yet their adaptability is often constrained by their inherent fixed morphology. While modular reconfigurable designs present a viable solution, applying it to wearable systems introduces critical si
Soft pneumatic joints, as the core components of soft robotic manipulators, often face a trade-off between multiple degrees of freedom (DoF) mobility and load capacity. Inspired by the Yoshimura origami pattern, this paper presents a rigid–soft hybrid pneumatic joint. Through spatially ordered place
In autonomous driving and robotic navigation, multi-sensor fusion technology has become increasingly mainstream, with precise sensor calibration as its foundation. Traditional calibration methods rely on manual effort or specific targets, limiting adaptability to complex environments. Learning-based
In recent years, significant progress has been made in the prototype design and control methodologies of modular snake robots. However, there is still relatively little research on the potential enabled by the active morphological transformation of robots. This paper presents a novel modular snake r
Modular self-reconfigurable robots (MSRRs) have significantly progressed in hardware and algorithm development. However, they are generally used in terrestrial environments, leaving broad scenarios to be explored and benefited. This letter presents a novel amphibious self-reconfigurable robot (ASRR)
The residual network is now one of the most effective structures in deep learning, which utilizes the skip connections to “guarantee" the performance will not get worse. However, the non-convexity of the neural network makes it unclear whether the skip connections do provably improve the learning ab…