activity
20232026
most citedFloPE: Flower Pose Estimation for Precision Pollination

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Modeling Branches for Active Manipulation using Iterative Parameter Estimation

Madhav Rijal, Rashik Shrestha, Trevor Smith +1

This study presents a method for modeling diverse plant branches by iteratively estimating material parameters to support delicate branch manipulation. Branch manipulation is neces…

cs.RO2025

Force Aware Branch Manipulation To Assist Agricultural Tasks

Madhav Rijal, Rashik Shrestha, Trevor Smith +1

This study presents a methodology to safely manipulate branches to aid various agricultural tasks. Humans in a real agricultural environment often manipulate branches to perform ag…

cs.RO2025

Robust Flower Cluster Matching Using The Unscented Transform

Andy Chu, Rashik Shrestha, Yu Gu +1

Monitoring flowers over time is essential for precision robotic pollination in agriculture. To accomplish this, a continuous spatial-temporal observation of plant growth can be don…

cs.RO2025★ 3 cited

FloPE: Flower Pose Estimation for Precision Pollination

Rashik Shrestha, Madhav Rijal, Trevor Smith +1

This study presents Flower Pose Estimation (FloPE), a real-time flower pose estimation framework for computationally constrained robotic pollination systems. Robotic pollination ha…

cs.CV2023

Residual Learning for Image Point Descriptors

Rashik Shrestha, Ajad Chhatkuli, Menelaos Kanakis +1

Local image feature descriptors have had a tremendous impact on the development and application of computer vision methods. It is therefore unsurprising that significant efforts ar…

cs.CV2023

CaLDiff: Camera Localization in NeRF via Pose Diffusion

Rashik Shrestha, Bishad Koju, Abhigyan Bhusal +2

With the widespread use of NeRF-based implicit 3D representation, the need for camera localization in the same representation becomes manifestly apparent. Doing so not only simplif…