6 accepted papers
It is challenging to design rules of local interactions for global patterns in self-organized robot swarm systems, especially in robots with limited capacities of sensing, communication, and computing. Many natural swarms, such as animal swarms and cell collectives, generate complex global patterns
The pectoral fins of manta rays are driven by bilateral muscles to generate up-down flapping movements that allow for efficient and flexible swimming. However, current soft underwater biomimetic flapping robots are mostly driven by unilateral muscle actuators, and the pectoral fin can only realize s
Various robot platforms have been developed for investigating new algorithms for swarm robotics. Morpho-genetic engineering in robot swarms, however, proposes new requirements for platforms: precise motion control, physical interactions with the environment or neighbor robots, and functionalized she
We present BlockGAN, an image generative model that learns object-aware 3D scene representations directly from unlabelled 2D images. Current work on scene representation learning either ignores scene background or treats the whole scene as one object. Meanwhile, work that considers scene composition…
Traditional computer graphics rendering pipelines are designed for procedurally generating 2D images from 3D shapes with high performance. The nondifferentiability due to discrete operations (such as visibility computation) makes it hard to explicitly correlate rendering parameters and the resulting…
Nanorobot has the potential to automate the manipulation and observation processes at molecular scale. Current drug discovery process is labor and cost intensive. Thus, a strong demand exists to automate this process. Here, we developed an Atomic Force Microscopy (AFM) based nanorobot for in situ se…