From the 9 of 361 papers with an AI index.
266 citations
- Tsinghua UniversityCN89 papers
- University of Science and Technology of ChinaCN83 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT82 papers
- Beihang UniversityCN81 papers
- Nanjing Normal UniversityCN81 papers
- Peking UniversityCN81 papers
- Zhejiang UniversityCN81 papers
- National Centre for Nuclear ResearchPL80 papers
- South China Normal UniversityCN80 papers
- University of BristolGB80 papers
- University of TarapacáCL80 papers
- University of TurinIT80 papers
12 papers · 1 filter
SUPER ODOMETRY 2.0: Resilient Odometry via Hierarchical Adaptation
Shibo Zhao, Sifan Zhou, Yuchen Zhang +4
Resilient and robust odometry is crucial for autonomous systems operating in complex and dynamic environments. Existing odometry systems often struggle with severe sensory degradat…
Bundle Adjustment in the Eager Mode
Zitong Zhan, Huan Xu, Zihang Fang +3
Bundle adjustment (BA) is a critical technique in various robotic applications such as simultaneous localization and mapping (SLAM), augmented reality (AR), and photogrammetry. BA…
Visual Sculpting: Visually-Aligned Planning Representations for Long-Horizon Robot Clay Sculpting
Peter Schaldenbrand, Jean Oh
Clay sculpting is a nuanced, artistic task involving dexterous manipulation with long-horizon planning to achieve high-level goals. As a robotics problem, we formulate clay sculpti…
Advancing MAPF Toward the Real World: A Scalable Multi-Agent Realistic Testbed (SMART)
Jingtian Yan, Zhifei Li, William Kang +7
We present Scalable Multi-Agent Realistic Testbed (SMART), a realistic and efficient software tool for evaluating Multi-Agent Path Finding (MAPF) algorithms. MAPF focuses on planni…
IA-TIGRIS: An Incremental and Adaptive Sampling-Based Planner for Online Informative Path Planning
Brady Moon, Nayana Suvarna, Andrew Jong +4
Planning paths that maximize information gain for robotic platforms has wide-ranging applications and significant potential impact. To effectively adapt to real-time data collectio…
Robotic Depowdering for Additive Manufacturing Via Pose Tracking
Zhenwei Liu, Junyi Geng, Xikai Dai +2
With the rapid development of powder-based additive manufacturing, depowdering, a process of removing unfused powder that covers 3D-printed parts, has become a major bottleneck to…