System Design of the Ultra Mobility Vehicle: A Driving, Balancing, and Jumping Bicycle Robot

Fuente: arXiv
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Auteurs principaux: Bokser, Benjamin, Gonzalez, Daniel, Preston, Aaron, Bahner, Alex, Wollschläger, Annika, Ilvonen, Arianna, Eckert-Erdheim, Asa, Khadke, Ashwin, Hammoud, Bilal, Molinaro, Dean, Jenelten, Fabian, Mayne, Henry, Choset, Howie, Bogoslavskyi, Igor, Tinman, Itic, Tigue, James, Preisig, Jan, Zheng, Kaiyu, Sharma, Kenny, Ang, Kim, Lee, Laura, Margolese, Liana, Lin, Nicole, Frias, Oscar, Drews, Paul, Boggavarapu, Ravi, Burnham, Rick, Zapolsky, Samuel, Kim, Sangbae, Biddlestone, Scott, Mayorga, Sean, Fahmi, Shamel, Singh, Surya, McCollum, Tyler, Dimitrov, Velin, Moyne, William, Chen, Yu-Ming, Farshidian, Farbod, Hutter, Marco, Perry, David, Rizzi, Al, Nelson, Gabe
Format: Preprint
Publié: 2026
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author Bokser, Benjamin
Gonzalez, Daniel
Preston, Aaron
Bahner, Alex
Wollschläger, Annika
Ilvonen, Arianna
Eckert-Erdheim, Asa
Khadke, Ashwin
Hammoud, Bilal
Molinaro, Dean
Jenelten, Fabian
Mayne, Henry
Choset, Howie
Bogoslavskyi, Igor
Tinman, Itic
Tigue, James
Preisig, Jan
Zheng, Kaiyu
Sharma, Kenny
Ang, Kim
Lee, Laura
Margolese, Liana
Lin, Nicole
Frias, Oscar
Drews, Paul
Boggavarapu, Ravi
Burnham, Rick
Zapolsky, Samuel
Kim, Sangbae
Biddlestone, Scott
Mayorga, Sean
Fahmi, Shamel
Singh, Surya
McCollum, Tyler
Dimitrov, Velin
Moyne, William
Chen, Yu-Ming
Farshidian, Farbod
Hutter, Marco
Perry, David
Rizzi, Al
Nelson, Gabe
author_facet Bokser, Benjamin
Gonzalez, Daniel
Preston, Aaron
Bahner, Alex
Wollschläger, Annika
Ilvonen, Arianna
Eckert-Erdheim, Asa
Khadke, Ashwin
Hammoud, Bilal
Molinaro, Dean
Jenelten, Fabian
Mayne, Henry
Choset, Howie
Bogoslavskyi, Igor
Tinman, Itic
Tigue, James
Preisig, Jan
Zheng, Kaiyu
Sharma, Kenny
Ang, Kim
Lee, Laura
Margolese, Liana
Lin, Nicole
Frias, Oscar
Drews, Paul
Boggavarapu, Ravi
Burnham, Rick
Zapolsky, Samuel
Kim, Sangbae
Biddlestone, Scott
Mayorga, Sean
Fahmi, Shamel
Singh, Surya
McCollum, Tyler
Dimitrov, Velin
Moyne, William
Chen, Yu-Ming
Farshidian, Farbod
Hutter, Marco
Perry, David
Rizzi, Al
Nelson, Gabe
contents Trials cyclists and mountain bike riders can hop, jump, balance, and drive on one or both wheels. This versatility allows them to achieve speed and energy-efficiency on smooth terrain and agility over rough terrain. Inspired by these athletes, we present the design and control of a robotic platform, Ultra Mobility Vehicle (UMV), which combines a bicycle and a reaction mass to move dynamically with minimal actuated degrees of freedom. We employ a simulation-driven design optimization process to synthesize a spatial linkage topology with a focus on vertical jump height and momentum-based balancing on a single wheel contact. Using a constrained Reinforcement Learning (RL) framework, we demonstrate zero-shot transfer of diverse athletic behaviors, including track-stands, jumps, wheelies, rear wheel hopping, and front flips. This 23.5 kg robot is capable of high speeds (8 m/s) and jumping on and over large obstacles (1 m tall, or 130% of the robot's nominal height).
format Preprint
id arxiv_https___arxiv_org_abs_2602_22118
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle System Design of the Ultra Mobility Vehicle: A Driving, Balancing, and Jumping Bicycle Robot
Bokser, Benjamin
Gonzalez, Daniel
Preston, Aaron
Bahner, Alex
Wollschläger, Annika
Ilvonen, Arianna
Eckert-Erdheim, Asa
Khadke, Ashwin
Hammoud, Bilal
Molinaro, Dean
Jenelten, Fabian
Mayne, Henry
Choset, Howie
Bogoslavskyi, Igor
Tinman, Itic
Tigue, James
Preisig, Jan
Zheng, Kaiyu
Sharma, Kenny
Ang, Kim
Lee, Laura
Margolese, Liana
Lin, Nicole
Frias, Oscar
Drews, Paul
Boggavarapu, Ravi
Burnham, Rick
Zapolsky, Samuel
Kim, Sangbae
Biddlestone, Scott
Mayorga, Sean
Fahmi, Shamel
Singh, Surya
McCollum, Tyler
Dimitrov, Velin
Moyne, William
Chen, Yu-Ming
Farshidian, Farbod
Hutter, Marco
Perry, David
Rizzi, Al
Nelson, Gabe
Robotics
Trials cyclists and mountain bike riders can hop, jump, balance, and drive on one or both wheels. This versatility allows them to achieve speed and energy-efficiency on smooth terrain and agility over rough terrain. Inspired by these athletes, we present the design and control of a robotic platform, Ultra Mobility Vehicle (UMV), which combines a bicycle and a reaction mass to move dynamically with minimal actuated degrees of freedom. We employ a simulation-driven design optimization process to synthesize a spatial linkage topology with a focus on vertical jump height and momentum-based balancing on a single wheel contact. Using a constrained Reinforcement Learning (RL) framework, we demonstrate zero-shot transfer of diverse athletic behaviors, including track-stands, jumps, wheelies, rear wheel hopping, and front flips. This 23.5 kg robot is capable of high speeds (8 m/s) and jumping on and over large obstacles (1 m tall, or 130% of the robot's nominal height).
title System Design of the Ultra Mobility Vehicle: A Driving, Balancing, and Jumping Bicycle Robot
topic Robotics
url https://arxiv.org/abs/2602.22118