TY - JOUR
T1 - Aggregate-Forming Planner for Autonomous Earth-Moving
AU - Shaked, Tom
AU - Bar-Sinai, Karen Lee
AU - Meles-Braverman, Ari
AU - Elmakis, Oren
AU - Degani, Amir
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2023
Y1 - 2023
N2 - Research in advanced construction and autonomous earthworks begins to explore the shaping of aggregates for construction, military, and environmental purposes. However, while current work in autonomous earthworks focuses on grading and pushing aggregates, there is limited research on moving aggregates to form specific shapes on a surface. This action can aid in gathering aggregates for on- site construction of re- configurable formations, performing architectural tasks, or piling material reservoirs for concrete production. To support aggregate-forming, an autonomous agent is required to move non-labeled aggregates from multiple locations to numerous proximate target points in a predefined desired shape. In this process, the agent needs to push the aggregates, handle material spills, and update both the material location and the outcome formation. The paper presents a planner for autonomous aggregate shaping to support this task. The path generation is first demonstrated in a simulation environment and validated in an in- lab experimental setup, showing over 90% success rate. The results show that employing the planner can assist in advancing autonomous earthworks toward on- site aggregate-forming.
AB - Research in advanced construction and autonomous earthworks begins to explore the shaping of aggregates for construction, military, and environmental purposes. However, while current work in autonomous earthworks focuses on grading and pushing aggregates, there is limited research on moving aggregates to form specific shapes on a surface. This action can aid in gathering aggregates for on- site construction of re- configurable formations, performing architectural tasks, or piling material reservoirs for concrete production. To support aggregate-forming, an autonomous agent is required to move non-labeled aggregates from multiple locations to numerous proximate target points in a predefined desired shape. In this process, the agent needs to push the aggregates, handle material spills, and update both the material location and the outcome formation. The paper presents a planner for autonomous aggregate shaping to support this task. The path generation is first demonstrated in a simulation environment and validated in an in- lab experimental setup, showing over 90% success rate. The results show that employing the planner can assist in advancing autonomous earthworks toward on- site aggregate-forming.
KW - Advanced construction
KW - autonomous earthworks
KW - path planning
KW - robotics and automation
UR - http://www.scopus.com/inward/record.url?scp=85176364133&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2023.3327112
DO - 10.1109/ACCESS.2023.3327112
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:85176364133
SN - 2169-3536
VL - 11
SP - 118841
EP - 118848
JO - IEEE Access
JF - IEEE Access
ER -