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Chi-Kai Ho
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2020 – today
- 2023
- [j3]Chi-Kai Ho
, Li-Wei Chan, Chung-Ta King
A Deep Learning Approach to Navigating the Joint Solution Space of Redundant Inverse Kinematics and Its Applications to Numerical IK Computations. IEEE Access 11: 2274-2290 (2023) - [j2]Chi-Kai Ho
CST-RL: Contrastive Spatio-Temporal Representations for Reinforcement Learning. IEEE Access 11: 26820-26831 (2023) - [j1]Chi-Kai Ho
LAC-RRT: Constrained Rapidly-Exploring Random Tree With Configuration Transfer Models for Motion Planning. IEEE Access 11: 97654-97663 (2023) - [c5]Ling-Chen Chen, Chi-Kai Ho, Chung-Ta King:
KeyState: Improving Image-based Reinforcement Learning with Keypoint for Robot Control. ICIT 2023: 1-6 - [c4]Han-Cheng Yao, Chi-Kai Ho, Chung-Ta King:
Learning Diverse and Efficient Goal-reaching Policies for Robot Motion Planning. ISIE 2023: 1-7 - 2022
- [c3]Li-Wei Chan, Chi-Kai Ho, Chung-Ta King:
Accelerating Numerical Inverse Kinematics Methods with the Lookup Table. CANDAR 2022: 11-18 - [c2]Yu-Fong Lin, Chi-Kai Ho, Chung-Ta King:
Improving Meta-imitation Learning with Focused Task Embedding. IntelliSys (3) 2022: 187-199 - [i1]Chi-Kai Ho, Chung-Ta King:
Selective Inverse Kinematics: A Novel Approach to Finding Multiple Solutions Fast for High-DoF Robotic. CoRR abs/2202.07869 (2022)
2010 – 2019
- 2019
- [c1]Chi-Kai Ho, Chung-Ta King, Yung-Ju Chang:
SCQ: Stage-Based, Context-Aware, QoE-Driven Power Optimization for Interactive Applications on Mobile Devices. MDM 2019: 343-345
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