Tactile Mapping and Localization from High-Resolution Tactile Imprints
원문 초록
This work studies the problem of shape reconstruction and object localization using a vision-based tactile sensor, GelSlim. The main contributions are the recovery of local shapes from contact, an approach to reconstruct the tactile shape of objects from tactile imprints, and an accurate method for object localization of previously reconstructed objects. The algorithms can be applied to a large variety of 3D objects and provide accurate tactile feedback for in-hand manipulation. Results show that by exploiting the dense tactile information we can reconstruct the shape of objects with high accuracy and do on-line object identification and localization, opening the door to reactive manipulation guided by tactile sensing. We provide videos and supplemental information in the project's website http://web.mit.edu/mcube/research/tactile_localization.html.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Multispectral Detection Transformer with Infrared-Centric Sensor Fusion
Enhancing Satellite Object Localization with Dilated Convolutions and Attention-aided Spatial Pooling
Mask-aware Text-to-Image Retrieval: Referring Expression Segmentation Meets Cross-modal Retrieval
WoMAP: World Models For Embodied Open-Vocabulary Object Localization
Towards Accurate State Estimation: Kalman Filter Incorporating Motion Dynamics for 3D Multi-Object Tracking
DeepAdaIn-Net: Deep Adaptive Device-Edge Collaborative Inference for Augmented Reality
토론
이 논문과 연결된 포럼 글이 아직 없습니다.