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Yunfeng Ji

5 accepted papers

2023

Real-Time Whole-Body Collision Avoidance and Path Following of a Snake Robot Through MPC-based Optimization Strategies

IROS 2023poster

The work in this paper delves into the challenge of whole elongated body's obstacle avoidance during path following for a class of bionic snake robots. Currently, most studies focus solely on preventing the robot's head from colliding with obstacles through designed controllers. However, due to the…

Cited by 5SourceScholar
2022

Event-Triggered Tracking Control Scheme for Quadrotors with External Disturbances: Theory and Validations

ICRA 2022poster

This article studies the tracking control of a quadrotor unmanned aerial vehicle (UAV) under time-varying external disturbances. An event-triggered sliding mode control (SMC) strategy is proposed by introducing a new triggering condition form of desired trajectory, quadrotor position, and velocity.…

Cited by 6SourceScholar
2021

Model-Based Trajectory Prediction and Hitting Velocity Control for a New Table Tennis Robot

IROS 2021poster

Currently, most table tennis robots concentrate on the canonical position control problem while ignoring the actual velocity control requirements. In this paper, we consider these requirements and propose a new table tennis robot framework. First, a tailor-made mechanical structure is designed such…

Cited by 20SourceScholar
2020

Distributed Consensus Control of Multiple UAVs in a Constrained Environment

ICRA 2020poster

In this paper, we investigate the consensus problem of multiple unmanned aerial vehicles (UAVs) in the presence of environmental constraints under a general communication topology containing a directed spanning tree. First, based on a position transformation function, we propose a novel dynamic refe…

Cited by 15SourceScholar
2019

Visual Domain Adaptation Exploiting Confidence-Samples

IROS 2019poster

Domain adaptation methods are used to address a problem, in which train scenario (source domain) and test scenario (target domain) are different. The existing methods mainly perform adaptation via reducing domain discrepancy from the view of a probability distribution. However, the idea of probabili…

Cited by 6SourceScholar