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A novel lightweight network achieves significant accuracy improvements in human pose estimation from planar LiDAR, making it feasible for real-time applications on resource-constrained robots.
Integrating advanced perception with gesture-based interaction, this autonomous wheelchair can follow users and be hailed from a distance, paving the way for smarter mobility solutions.
Exosuits can now adapt to individual users in real-time by forecasting their walking modes using only two inertial sensors, enabling more personalized and effective assistance.
