6 accepted papers
For full-size humanoid robots, reliable locomotion on complex terrains—such as long staircases—remains challenging, even with recent advances in reinforcement-learning-based control. In such settings, limited perception, ambiguous terrain cues, and insufficient adaptation of gait timing can cause ev
Content caching at base stations (BS) can reduce backhaul traffic delays to deliver the requested files to users, but its effectiveness is limited by BS storage capacity. We propose a novel approach that integrates artificial intelligence-generated content (AIGC) into the BS operations. Instead of c…
This paper studies the problem of constructing polytopic representations for planar regions from depth camera readings. This problem is of great importance for terrain mapping in complicated environment and has great potentials in legged locomotion applications. To address the polytopic planar regio…
This paper presents an open-source untethered quadrupedal soft robot platform for dynamic locomotion (e.g., high-speed running and backflipping). The robot is mostly soft (80 vol.%) while driven by four geared servo motors. The robot’s soft body and soft legs were 3D printed with gyroid infill using…
Aspect Based Sentiment Analysis (ABSA) is an important and challenging task in language understanding. It aims to assign the correct polarity to a given sentence considering the entity on which an opinion is expressed. Extant neural networks usually employ Recurrent Neural Networks (RNN), Long Short…
We investigate the achievable uplink rate of multi-cell massive multi-input multi-output (MIMO) systems considering pilot reuse across cells. Based on tractable approximations for the achievable rates, we derive the optimal pilot length to maximize the sum rate per cell. Interestingly, it is found t…