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Bofeng Qi

dblp:383/4449 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Legged, aerial and field robots · 67% Motion planning and robot control · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
bipedal locomotion
0.812024
Adaptive Passive Biped Dynamic Walking on Unknown Uneven Terrain · ICRA 2024
Robotics › Legged, aerial and field robots
passive dynamic walking
0.812024
Adaptive Passive Biped Dynamic Walking on Unknown Uneven Terrain · ICRA 2024
Robotics › Motion planning and robot control
robot control
0.812024
Adaptive Passive Biped Dynamic Walking on Unknown Uneven Terrain · ICRA 2024

Methods — techniques the papers use, named apart from their topics

slope estimation · 0.8backstepping control · 0.8
YearPublicationVenuePosition
2024 Adaptive Passive Biped Dynamic Walking on Unknown Uneven Terrain
abstract
In this paper, we propose an adaptive controller for virtual passive biped dynamic walking on unknown uneven terrain. The adaptive controller consists of a trajectory tracking control law developed via backstepping method to mimic reference passive gait, and a slope estimator for the inclination angle of the terrain. In addition, a re-planning approach is introduced to correct the robot state off-track from the reference gait due to the terrain changes. The controller is validated through the simulations on the mixed uneven terrain consisting of varying slopes and steps. The results suggest that the controller shows comparable cost of transport and greater adaptability to terrain changes compared with certain existing methods.
Lishen Pu, Aiqun Zheng, Bofeng Qi, Chunquan Xu
ICRA4