Beomyeong Park

14 papers Journal 6Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Anticipatory and Adaptive Footstep Streaming for Teleoperated Bipedal Robots. Humanoids Luigi Penco, Beomyeong Park, Stefan Fasano, Nehar Poddar, Stephen McCrory, Nicholas Kitchel, Tomasz Bialek, Dexton Anderson, Duncan Calvert, Robert J. Griffin
2025	J	`jnl`	Anticipatory and Adaptive Footstep Streaming for Teleoperated Bipedal Robots. CoRR Luigi Penco, Beomyeong Park, Stefan Fasano, Nehar Poddar, Stephen McCrory, Nicholas Kitchel, Tomasz Bialek, Dexton Anderson, Duncan Calvert, Robert J. Griffin
2025	J	`jnl`	Intuitive and Interactive Robotic Avatar System for Tele-Existence: TEAM SNU in the ANA Avatar XPRIZE Finals. Int. J. Soc. Robotics Beomyeong Park, Donghyeon Kim, Daegyu Lim, Suhan Park, Junewhee Ahn, Seungyeon Kim, Jaeyong Shin, Eunho Sung, Jaehoon Sim, Junhyung Kim, Myeong-Ju Kim, Junhyeok Cha, Gyeongjae Park, Hokyun Lee, Seungbin You, Keunwoo Jang, Seung-Hun Kim, Mathew Schwartz, Jaeheung Park
2025	—	`conf`	The Surprising Effectiveness of Linear Models for Whole-Body Model-Predictive Control. Humanoids Arun L. Bishop, Juan Alvarez-Padilla, Sam Schoedel, Ibrahima Sory Sow, Juee Chandrachud, Sheitej Sharma, Will Kraus, Beomyeong Park, Robert J. Griffin, John M. Dolan, Zachary Manchester
2025	J	`jnl`	The Surprising Effectiveness of Linear Models for Whole-Body Model-Predictive Control. CoRR Arun L. Bishop, Juan Alvarez-Padilla, Sam Schoedel, Ibrahima Sory Sow, Juee Chandrachud, Sheitej Sharma, Will Kraus, Beomyeong Park, Robert J. Griffin, John M. Dolan, Zachary Manchester
2023	J	`jnl`	Heel-strike and toe-off walking of humanoid robot using quadratic programming considering the foot contact states. Robotics Auton. Syst. Beomyeong Park, Jaeheung Park
2022	—	`conf`	Analysis of Effects of Leg Inertia Distribution on Contact Stability and Dynamic Performance During Bipedal Walking. Humanoids Junhyung Kim, Beomyeong Park, Jaeyong Shin, Jaeheung Park
2022	J	`jnl`	Optimization of Pelvic Rotation Walking Pattern Considering Future States Using Model Predictive Control to Increase the Step Length. IEEE Access Beomyeong Park, Jaeheung Park
2021	—	`conf`	Hybrid Position/Torque Ankle Controller for Minimizing ZMP error of Humanoid Robot. UR Junhyung Kim, Beomyeong Park, Hokyun Lee, Jaeheung Park
2021	—	`conf`	Whole-body walking pattern using pelvis-rotation for long stride and arm swing for yaw angular momentum compensation. HUMANOIDS Beomyeong Park, Myeong-Ju Kim, Eunho Sung, Junhyung Kim, Jaeheung Park
2017	—	`conf`	Foot angle determination for efficient heel-toe walking. URAI Seungmin Lee, Beomyeong Park, Jaeheung Park
2017	J	`jnl`	Team SNU's Control Strategies for Enhancing a Robot's Capability: Lessons from the 2015 DARPA Robotics Challenge Finals. J. Field Robotics Sanghyun Kim, Mingon Kim, Jimin Lee, Soonwook Hwang, Joonbo Chae, Beomyeong Park, Hyunbum Cho, Jaehoon Sim, Jaesug Jung, Hosang Lee, Seho Shin, Minsung Kim, Wonje Choi, Yisoo Lee, Sumin Park, Jiyong Oh, Yongjin Lee, Sangkuk Lee, Myunggi Lee, Sangyup Yi, Kyong-Sok K. C. Chang, Nojun Kwak, Jaeheung Park
2015	—	`conf`	Approach of Team SNU to the DARPA Robotics Challenge finals. Humanoids Sanghyun Kim, Mingon Kim, Jimin Lee, Soonwook Hwang, Joonbo Chae, Beomyeong Park, Hyunbum Cho, Jaehoon Sim, Jaesug Jung, Hosang Lee, Seho Shin, Minsung Kim, Nojun Kwak, Yongjin Lee, Sangkuk Lee, Myunggi Lee, Sangyup Yi, Kyong-Sok K. C. Chang, Jaeheung Park
2015	—	`conf`	Wall cutting strategy for circular hole using humanoid robot. URAI Beomyeong Park, Hyunbum Cho, Wonje Choi, Jaeheung Park

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.