1 citations · 1 across the 8 of their papers we have counts for
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LadderMan: Learning Humanoid Perceptive Ladder Climbing
Siheng Zhao, Yuanhang Zhang, Ziqi Lu +6
Humanoid robots hold great promise for operating in human-centered environments, yet ladder climbing remains one of the most challenging tasks due to sparse footholds and handholds…
Discrete-Continuous Smoothing and Mapping
Kevin J. Doherty, Ziqi Lu, Kurran Singh +1
We describe a general approach for maximum a posteriori (MAP) inference in a class of discrete-continuous factor graphs commonly encountered in robotics applications. While there a…
SLAM-Supported Self-Training for 6D Object Pose Estimation
Ziqi Lu, Yihao Zhang, Kevin Doherty +3
Recent progress in object pose prediction provides a promising path for robots to build object-level scene representations during navigation. However, as we deploy a robot in novel…
Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM
Ziqi Lu, Qiangqiang Huang, Kevin Doherty +1
Building object-level maps can facilitate robot-environment interactions (e.g. planning and manipulation), but objects could often have multiple probable poses when viewed from a s…