4 papers
Build Once, Monitor Continuously: Persistent Semantic Mapping via Autonomous Exploration and Open-Vocabulary Object Updates
Sai Haneesh Allu, Itay Kadosh, Tyler Summers +1
Persistent semantic monitoring of indoor spaces such as warehouses, hospitals, and offices requires a robot to repeatedly monitor an environment and track how objects change over t…
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes
Qifan Zhang, Sai Haneesh Allu, Jikai Wang +2
Detecting and segmenting novel object instances in open-world environments is a fundamental problem in robotic perception. Given only a small set of template images, a robot must l…
HRT1: One-Shot Human-to-Robot Trajectory Transfer for Mobile Manipulation
Sai Haneesh Allu, Jishnu Jaykumar P, Ninad Khargonkar +3
We introduce a novel system for human-to-robot trajectory transfer that enables robots to manipulate objects by learning from human demonstration videos. The system consists of fou…
Grasping Trajectory Optimization with Point Clouds
Yu Xiang, Sai Haneesh Allu, Rohith Peddi +2
We introduce a new trajectory optimization method for robotic grasping based on a point-cloud representation of robots and task spaces. In our method, robots are represented by 3D…