The Roper Center: Development of a New Organizational Model for Data Access by William Gammell

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A survey of asymptotically optimal sampling-based motion planning methods by Gammell, JD, Strub, MP

Adaptively Informed Trees (AIT*): fast asymptotically optimal path planning through adaptive heuristics by Strub, MP, Gammell, JD

Multimotion visual odometry by Judd, KM, Gammell, JD

Informed sampling for asymptotically optimal path planning by Gammell, J, Barfoot, T, Srinivasa, S

AIT* and EIT*: asymmetric bidirectional sampling-based path planning by Strub, M, Gammell, J

Advanced BIT* (ABIT*): sampling-based planning with advanced graph-search techniques by Strub, MP, Gammell, JD

Occlusion-Robust MVO: multimotion estimation through occlusion via motion closure by Judd, K, Gammell, J

Proactive estimation of occlusions and scene coverage for planning next best views in an unstructured representation by Border, R, Gammell, JD

Autonomous aerial mapping and its applications for emergency response by Border, R, Gammell, J

The Oxford multimotion dataset: multiple SE(3) motions with ground truth by Judd, K, Gammell, J

Layer-Skipping Connections Improve the Effectiveness of Equilibrium Propagation on Layered Networks by Jimmy Gammell, Jimmy Gammell, Sonia Buckley, Sae Woo Nam, Adam N. McCaughan

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Fluctuating Asymmetry of Fallow Deer Antlers Is Associated with Weapon Damage but Not Tactical Behaviour during Fights by Dómhnall J. Jennings, Martin P. Gammell

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Data Organization and Management Action Group by Greg Morrison, Eric Tanenbaum, William Gammell

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Multimotion visual odometry (MVO): Simultaneous estimation of camera and third-party motions by Gammell, J, Judd, K, Newman, P

Multimotion visual odometry (MVO): Simultaneous estimation of camera and third-party motions by Judd, K, Gammell, J, Newman, P

Surface Edge Explorer (see): Planning Next Best Views Directly from 3D Observations by Border, R, Gammell, J, Newman, P

Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search by Gammell, JD, Barfoot, TD, Srinivasa, SS

Task and motion informed trees (TMIT*): Almost-surely asymptotically optimal integrated task and motion planning by Thomason, W, Strub, MP, Gammell, JD

Action Group Reports by Sheldon Laube, William Gammell, Donald F. Harrison

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