9 accepted papers
Recent advances in point cloud analysis have increasingly leveraged large-scale unlabeled data through self-supervised representation learning. Autoregressive models based on next-token prediction have shown strong performance, but they usually model point clouds as linear sequences, ignoring their
This paper presents a novel dual tiltrotor UAV design featuring foldable wings and a strategically positioned center of gravity (CG) to enable passive perching and multi-modal flight. Traditional UAVs rely on additional mechanical components for operations such as takeoff and perching, which increas
Multi-modal entity alignment (MMEA) aims to identify equivalent entities between two multi-modal knowledge graphs for integration. Unfortunately, prior arts have attempted to improve the interaction and fusion of multi-modal information, which have overlooked the influence of modal-specific noise an…
Quadruped robots have the potential to guide blind and low vision (BLV) people due to their highly flexible locomotion and emotional value provided by their bionic forms. However, the development of quadruped guide robots rarely involves BLV users' participatory designs and evaluations. In this pape…
Magnetic microrobots exhibit enormous potential in targeted drug delivery owing to the remote wireless manipulation and minimum invasion for medical treatment. High degree of freedom offers the magnetic propelled robots extraordinary application prospect since they can be controlled precisely when d…
The untethered microrobots driven by multiple external physics fields have promising ability in minimally invasive disease treatments. One common type of the driving fields is gradient magnetic field, which can provide microrobots with adequate driving force in complicated environment. In this study…
Magnetic-controlled micro-robots have promising applications in disease therapy due to their high targetability and drug utilization. Due to their unique deformable and divisible properties, ferrofluid robots have gained much attention in microchemical reaction chips and micromanipulation. This lett
Micro-nano robots with low invasiveness and high drug utilization are considered a promising approach for tumor therapy. However, individual micro-nano robots are limited in terms of motility, drug-carrying capacity, and environmental adaptability. This study proposes a clustering control strategy f
Micro-nano-robots are considered to be a promising platform for drug delivery in biological organisms, but there are still urgent technical problems in biocompatibility and degradability of 3D-printed-based micro-robots that need to be solved. Therefore, in this paper, we design a magnetized bio-hyb…