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pith:2026:5IPKX65CUFPWBM3EQQR2ENGSOU
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Manipulation Planning for Construction Activities with Repetitive Tasks

Ci-Jyun Liang, Dasharadhan Mahalingam, Fanru Gao, Nilanjan Chakraborty, Wangyi Liu

Robots generalize from one VR demonstration to build walls of arbitrary length by modeling motions as constant screw sequences.

arxiv:2605.13754 v1 · 2026-05-13 · cs.RO

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Claims

C1strongest claim

Our experiments with a 7-DoF robot in both simulation and hardware demonstrate that the approach generalizes robustly to arbitrarily long construction activities that involve repetitive motions and demand precision, even when provided with just one demonstration. For instance, we can construct walls of arbitrary layout and length by leveraging a single demonstration of placing one brick on top of another.

C2weakest assumption

The demonstrated motion can be approximated as a sequence of constant screw motions without accumulating errors that would prevent the required precision over many repetitions in construction tasks.

C3one line summary

A robot generalizes one demonstration of placing a single brick to build walls of arbitrary length and layout by approximating motions as screw sequences and using ScLERP/RMRC for planning.

References

38 extracted · 38 resolved · 0 Pith anchors

[1] A. G. Billard, S. Calinon, and R. Dillmann, “Learning from humans,” Springer Handbook of Robotics, pp. 1995–2014, 2016. [Online]. Available: https://doi.org/10.1007/978-3-319-32552-1 74 1995 · doi:10.1007/978-3-319-32552-1
[2] Human-guided planning for complex manipulation tasks using the screw geometry of motion, 2023
[3] On screw linear interpola- tion for point-to-point path planning, 2020
[4] Resolved motion rate control of manipulators and human prostheses, 1969
[5] Robotic on- site construction of masonry, 1998

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First computed 2026-05-18T02:44:16.353092Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ea1eabfba2a15f60b3648423a234d275001755cbbd237f2d611caae5280cbe64

Aliases

arxiv: 2605.13754 · arxiv_version: 2605.13754v1 · doi: 10.48550/arxiv.2605.13754 · pith_short_12: 5IPKX65CUFPW · pith_short_16: 5IPKX65CUFPWBM3E · pith_short_8: 5IPKX65C
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/5IPKX65CUFPWBM3EQQR2ENGSOU \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: ea1eabfba2a15f60b3648423a234d275001755cbbd237f2d611caae5280cbe64
Canonical record JSON
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