Towards Standardized Disturbance Rejection Testing of Legged Robot Locomotion with Linear Impactor: A Preliminary Study, Observations, and Implications
Bowen Weng, Guillermo A. Castillo, Yun-Seok Kang, Ayonga Hereid
TL;DR
This work addresses the absence of standardized disturbance testing for legged robot locomotion by introducing a linear pneumatic impactor as a repeatable, adaptive disturbance source. The authors formulate a discrete-time disturbance-rejection framework, distinguishing internal control from environmental disturbances, and demonstrate the approach with a Digit humanoid across three locomotion controllers in a walking-in-place task. A key finding is that disturbance tolerance can be meaningfully assessed via impact momentum, with the best controller sustaining $26.376\,\mathrm{kg\cdot m/s}$—comparable to the human benchmark of $26.506\,\mathrm{kg\cdot m/s}$—and that higher impact levels do not always predict worse outcomes, highlighting the role of controller dynamics and impact duration. This preliminary study lays the groundwork for standardized safety testing infrastructure in legged robotics, enabling fair, repeatable, and hardware-agnostic benchmarking with potential implications for certification and industrial adoption.
Abstract
Dynamic locomotion in legged robots is close to industrial collaboration, but a lack of standardized testing obstructs commercialization. The issues are not merely political, theoretical, or algorithmic but also physical, indicating limited studies and comprehension regarding standard testing infrastructure and equipment. For decades, the approaches we have been testing legged robots were rarely standardizable with hand-pushing, foot-kicking, rope-dragging, stick-poking, and ball-swinging. This paper aims to bridge the gap by proposing the use of the linear impactor, a well-established tool in other standardized testing disciplines, to serve as an adaptive, repeatable, and fair disturbance rejection testing equipment for legged robots. A pneumatic linear impactor is also adopted for the case study involving the humanoid robot Digit. Three locomotion controllers are examined, including a commercial one, using a walking-in-place task against frontal impacts. The statistically best controller was able to withstand the impact momentum (26.376 kg$\cdot$m/s) on par with a reported average effective momentum from straight punches by Olympic boxers (26.506 kg$\cdot$m/s). Moreover, the case study highlights other anti-intuitive observations, demonstrations, and implications that, to the best of the authors' knowledge, are first-of-its-kind revealed in real-world testing of legged robots.
