5 papers
RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments
Zaid Nasser, Mikhail Iumanov, Tianhao Li +3
We present RADIO-ViPE (Reduce All Domains Into One -- Video Pose Engine), an online semantic SLAM system that enables geometry-aware open-vocabulary grounding, associating arbitrar…
KM-ViPE: Online Tightly Coupled Vision-Language-Geometry Fusion for Open-Vocabulary Semantic SLAM
Zaid Nasser, Mikhail Iumanov, Tianhao Li +7
We present KM-ViPE (Knowledge Mapping Video Pose Engine), a real-time open-vocabulary SLAM framework for uncalibrated monocular cameras in dynamic environments. Unlike systems requ…
OSMa-Bench: Evaluating Open Semantic Mapping Under Varying Lighting Conditions
Maxim Popov, Regina Kurkova, Mikhail Iumanov +2
Open Semantic Mapping (OSM) is a key technology in robotic perception, combining semantic segmentation and SLAM techniques. This paper introduces a dynamically configurable and hig…
Synergizing Morphological Computation and Generative Design: Automatic Synthesis of Tendon-Driven Grippers
Kirill Zharkov, Mikhail Chaikovskii, Yefim Osipov +3
Robots' behavior and performance are determined both by hardware and software. The design process of robotic systems is a complex journey that involves multiple phases. Throughout…
GSplatLoc: Grounding Keypoint Descriptors into 3D Gaussian Splatting for Improved Visual Localization
Gennady Sidorov, Malik Mohrat, Denis Gridusov +2
Although various visual localization approaches exist, such as scene coordinate regression and camera pose regression, these methods often struggle with optimization complexity or…