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researcher

Chengqi Lv

6 papers hereh-index 211.7k citations77 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author4

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • eess.SY2
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedGoal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation

83 citations · 85 across the 5 of their papers we have counts for

collaborators
Showing eess.SYShow all

2 papers · 1 filter

eess.SY2024

Incorporating ESO into Deep Koopman Operator Modelling for Control of Autonomous Vehicles

Hao Chen, Chen Lv

Koopman operator theory is a kind of data-driven modelling approach that accurately captures the nonlinearities of mechatronic systems such as vehicles against physics-based method…

eess.SY2024

Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles

Hao Chen, Xiangkun He, Shuo Cheng +1

Modeling of nonlinear behaviors with physical-based models poses challenges. However, Koopman operator maps the original nonlinear system into an infinite-dimensional linear space…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.