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Learning to Map Efficiently by Active Echolocation
Using visual SLAM to map new environments requires time-consuming visits to all regions
for data collection. We propose an approach to estimate maps of areas beyond the visible …
for data collection. We propose an approach to estimate maps of areas beyond the visible …
Latent Object Characteristics Recognition with Visual to Haptic-Audio Cross-modal Transfer Learning
Recognising the characteristics of objects while a robot handles them is crucial for adjusting
motions that ensure stable and efficient interactions with containers. Ahead of realising …
motions that ensure stable and efficient interactions with containers. Ahead of realising …
WildFusion: Multimodal Implicit 3D Reconstructions in the Wild
We propose WildFusion, a novel approach for 3D scene reconstruction in unstructured, in-
the-wild environments using multimodal implicit neural representations. WildFusion …
the-wild environments using multimodal implicit neural representations. WildFusion …
SonicBoom: Contact Localization Using Array of Microphones
In cluttered environments where visual sensors encounter heavy occlusion, such as in
agricultural settings, tactile signals can provide crucial spatial information for the robot to …
agricultural settings, tactile signals can provide crucial spatial information for the robot to …
SoundNeRirF: Receiver-to-Receiver Sound Neural Room Impulse Response Field
We present SoundNeRirF, a framework that learns a continuous receiver-to-receiver neural
room impulse response field~(r2r-RIR) to help robot efficiently predict the sound to be heard …
room impulse response field~(r2r-RIR) to help robot efficiently predict the sound to be heard …