7 accepted papers
This paper presents the design and development of a jet vectoring backpack (JVP) - a single-person vertical take-off and landing (VTOL) aircraft specifically designed for emergency and disaster relief. Unlike existing electrically powered personal flying devices, the JVP employs turbojet engines as
Analyzing and forecasting trajectories of agents like pedestrians plays a pivotal role for embodied intelligent applications. The inherent indeterminacy of human behavior and complex social interaction among a rich variety of agents makes this task more challenging than common time-series forecastin
Turbojet-powered VTOL autonomous aerial vehicle (AAVs) have garnered increased attention in heavy-load transport and emergency services, due to their superior power density and thrust-to-weight ratio compared to existing electronic propulsion systems. The main challenge with jet-powered AAVs lies in
Cable-driven exosuits have the advantages of being lightweight, compact, and well-adapted due to avoiding extensive usage of rigid structures to transmit power. However, applying too many flexible materials into the system will cause some problems such as insufficient stiffness, easy deformation, an
Neural architecture search (NAS) has shown great promise in automatically designing lightweight models. However, conventional approaches are insufficient in training the supernet and pay little attention to actual robot hardware resources. To meet such challenges, we propose RAM-NAS, a resource-awar…
This letter presents a sample-efficient deep reinforcement learning (DRL) based method to address the intricate task of autonomous navigation in dynamic, constrained environments. The proposed method leverages a graph neural network with feature-wise linear modulation modules to effectively extract
In robot-assisted upper limb rehabilitation, detecting the intentions of hemiplegic patients is essential towards assisting the patients to actively exercise instead of driving passive motions. Many interactive channels, such as voice, EMG and EEG, have been studied to estimate the motion intentions…