activity
20242026
most citedFloPE: Flower Pose Estimation for Precision Pollination

3 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Walking on the Slope: Stable Bipedal Gaits with Genetic-Algorithm-Optimized Trajectories

Madhav Rijal

This paper presents the kinematic and dynamic modeling, trajectory generation, and stability analysis of an 8-degree-of-freedom (DOF) biped robot walking on flat and inclined terra…

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★ 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.RO2024★ 1 cited

Design of Stickbug: a Six-Armed Precision Pollination Robot

Trevor Smith, Madhav Rijal, Christopher Tatsch +6

This work presents the design of Stickbug, a six-armed, multi-agent, precision pollination robot that combines the accuracy of single-agent systems with swarm parallelization in gr…