News

New IEEE RA-L pa­per, “VDS-Nav: Volu­met­ric Depth-Based Safe Nav­ig­a­tion for Aer­i­al Ro­bot­s–Bridging the Sim-to-Real Gap”

We are excited to share our latest IEEE RA-L paper, “VDS-Nav: Volumetric Depth-Based Safe Navigation for Aerial Robots–Bridging the Sim-to-Real Gap”

VDS-Nav: A novel navigation paradigm that enables aerial robots to safely navigate using linear velocities and yaw rates inferred directly from a sequence of depth images, eliminating the need for pre-trained latent space encoders.

Read the full paper here: https://lnkd.in/deSyGqxN
Video: https://lnkd.in/dBU8XTpF

Big shout-out to all co-authors for making this possible: Van Huyen Dang, Adrian Redder, Huy Pham, Andriy Sarabakha, and Erdal Kayacan!