167 citations
- National Research and Innovation AgencyID9 papers
- Kanazawa UniversityJP8 papers
- National University of SingaporeSG7 papers
- Toyohashi University of TechnologyJP5 papers
- ADA UniversityAZ3 papers
- Bandung Institute of TechnologyID3 papers
- Delft University of TechnologyNL3 papers
- Kyushu UniversityJP3 papers
- Nanyang Technological UniversitySG3 papers
- Singapore Synchrotron Light SourceSG3 papers
- University of IndonesiaID3 papers
- Asia Pacific Center for Theoretical PhysicsKR2 papers
5 papers · 1 filter
Seq-DeepIPC: Sequential Sensing for End-to-End Control in Legged Robot Navigation
Oskar Natan, Jun Miura
We present Seq-DeepIPC, a sequential end-to-end perception-to-control model for legged robot navigation in real-world environments. Seq-DeepIPC advances intelligent sensing for aut…
Bio-inspired circular soft actuators for simulating defecation process of human rectum
Zebing Mao, Sota Suzuki, Ardi Wiranata +2
Soft robots have found extensive applications in the medical field, particularly in rehabilitation exercises, assisted grasping, and artificial organs. Despite significant advancem…
DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle
Oskar Natan, Jun Miura
We propose DeepIPCv2, an end-to-end autonomous driving framework that integrates LiDAR-based environmental perception with command-specific control learning. Unlike prior camera-re…
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real Environments
Oskar Natan, Jun Miura
In this work, we introduce DeepIPC, a novel end-to-end model tailored for autonomous driving, which seamlessly integrates perception and control tasks. Unlike traditional models th…
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent
Oskar Natan, Jun Miura
Focusing on the task of point-to-point navigation for an autonomous driving vehicle, we propose a novel deep learning model trained with end-to-end and multi-task learning manners…