← Search

Chuanzhe Suo

7 accepted papers

2026

WholeBodyVLA: Towards Unified Latent VLA for Whole-body Loco-manipulation Control

ICLR 2026poster

Humanoid robots require precise locomotion and dexterous manipulation to per- form challenging locomanipulation tasks. Yet existing approaches, modular or end-to-end, are deficient in manipulation-aware locomotion. This confines the robot to a limited workspace, preventing it from performing large-s…

Cited by 0SourcecodeScholar
2020

A Synchronization Approach for Achieving Cooperative Adaptive Cruise Control Based Non-Stop Intersection Passing

ICRA 2020poster

Cooperative adaptive cruise control (CACC) of intelligent vehicles contributes to improving cruise control performance, reducing traffic congestion, saving energy and increasing traffic flow capacity. In this paper, we resolve the CACC problem from the viewpoint of synchronization control, our main…

Cited by 7SourceScholar
2020

End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences

IROS 2020poster

3D Point cloud registration is still a very challenging topic due to the difficulty in finding the rigid transformation between two point clouds with partial correspondences, and it's even harder in the absence of any initial estimation information. In this paper, we present an end-to-end deep-learn…

Cited by 26SourcecodeScholar
2019

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis

ICCV 2019poster

Point cloud based place recognition is still an open issue due to the difficulty in extracting local features from the raw 3D point cloud and generating the global descriptor, and it's even harder in the large-scale dynamic environments. In this paper, we develop a novel deep neural network, named L…

Cited by 345PDFScholar
2019

Modelling and Dynamic Tracking Control of Industrial Vehicles with Tractor-trailer Structure

IROS 2019poster

Existing works on control of tractor-trailers systems only consider the kinematics model without taking dynamics into account. Also, most of them treat the issue as a pure control theory problem whose solutions are difficult to implement. This paper presents a trajectory tracking control approach fo…

Cited by 21SourceScholar
2019

SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles

IROS 2019poster

Place recognition and loop-closure detection are main challenges in the localization, mapping and navigation tasks of self-driving vehicles. In this paper, we solve the loop-closure detection problem by incorporating the deep-learning based point cloud description method and the coarse-to-fine seque…

Cited by 70SourceScholar
2019

Vision-Based Dynamic Control of Car-Like Mobile Robots

ICRA 2019poster

Most existing controllers for Car-Like Mobile Robots (CLMR) are designed to handle dynamic effects by decoupling speed and steering controls, also assume that full states are accessible, which are unrealistic for real-world applications. This paper presents a combined speed and steering control syst…

Cited by 9SourceScholar