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Ming-Hao Guo

28 papers hereh-index 7215 citations35 works total

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

author position
  • first author7
  • middle author21

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.CV6
  • cs.GR5
  • cs.RO4
  • q-bio.BM2
  • cs.AI1
same name
  • Ming-Hao Guo — 8 papers, h 3
  • Ming-Hao Guo — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedGeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training

1 citations · 1 across the 17 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2026

NeuralActuator: Neural Actuation Modeling for Robot Dynamics and External Force Perception

Zhiyang Dou, John U. Onyemelukwe, Hangxing Zhang +9

Differentiable simulators have advanced policy learning and model-based control across robotic tasks. Yet actuator dynamics remain underexplored and can be a major source of sim-to…

cs.RO2026

PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement

Yian Wang, Han Yang, Minghao Guo +5

Automatically generating interactive 3D environments is crucial for scaling up robotic data collection in simulation. While prior work has primarily focused on 3D asset placement,…

cs.RO2025

Kinematic Kitbashing

Minghao Guo, Victor Zordan, Sheldon Andrews +3

We introduce Kinematic Kitbashing, an optimization framework that synthesizes articulated 3D objects by assembling reusable parts conditioned on an abstract kinematic graph. Given…

cs.RO2025

RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills

Chunru Lin, Haotian Yuan, Yian Wang +7

Endowing robots with tool design abilities is critical for enabling them to solve complex manipulation tasks that would otherwise be intractable. While recent generative frameworks…

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